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Australia has granted approval for Apple to enable its Apple Watch hypertension notification feature in the country, Information Age reports. The Therapeutic Goods Administration (TGA), Australia's medical device regulator, has approved Apple's hypertension notification feature for use on Apple Watch, formally listing the software as a medical device on the Australian Register of Therapeutic Goods earlier this month. Apple announced hypertension detection in September. The feature is designed to identify patterns associated with elevated blood pressure rather than directly measuring blood pressure itself. It uses data collected by the optical heart sensor on the back of supported Apple Watch models to analyze how blood vessels respond to heartbeats over rolling 30 day periods. If the system detects consistent indicators associated with possible hypertension, the user receives a notification advising follow-up using conventional blood pressure measurement methods. The system is intended for adults aged 22 and older who are not pregnant and who have not previously been diagnosed with hypertension. It requires an Apple Watch Series 9 or later or an Apple Watch Ultra 2 or later running watchOS 26, paired with an iPhone 11 or later running the latest version of iOS. Apple can now legally activate the feature for Australian users, although the company has not yet confirmed when it will become available. In previous cases involving regulated health features, Apple has enabled functionality either through a subsequent software update or by remotely activating the feature once regulatory clearance has been obtained. Hypertension notifications have already rolled out in more than 150 countries. Tag: Australia This article, "Australia Approves Apple Watch's Hypertension Notifications" first appeared on MacRumors.com Discuss this article in our forums View the full article

Cybersecurity researchers have disclosed details of a new campaign that has used cracked software distribution sites as a distribution vector for a new version of a modular and stealthy loader known as CountLoader. The campaign "uses CountLoader as the initial tool in a multistage attack for access, evasion, and delivery of additional malware families," Cyderes Howler Cell Threat IntelligenceView the full article

The Trump administration has pursued a staggering range of policy pivots this past year that threaten to weaken the nation’s ability and willingness to address a broad spectrum of technology challenges, from cybersecurity and privacy to countering disinformation, fraud and corruption. These shifts, along with the president’s efforts to restrict free speech and freedom of the press, have come at such a rapid clip that many readers probably aren’t even aware of them all. FREE SPEECH President Trump has repeatedly claimed that a primary reason he lost the 2020 election was that social media and Big Tech companies had conspired to silence conservative voices and stifle free speech. Naturally, the president’s impulse in his second term has been to use the levers of the federal government in an effort to limit the speech of everyday Americans, as well as foreigners wishing to visit the United States. In September, Donald Trump signed a national security directive known as NSPM-7, which directs federal law enforcement officers and intelligence analysts to target “anti-American” activity, including any “tax crimes” involving extremist groups who defrauded the IRS. According to extensive reporting by journalist Ken Klippenstein, the focus of the order is on those expressing “opposition to law and immigration enforcement; extreme views in favor of mass migration and open borders; adherence to radical gender ideology,” as well as “anti-Americanism,” “anti-capitalism,” and “anti-Christianity.” Earlier this month, Attorney General Pam Bondi issued a memo advising the FBI to compile a list of Americans whose activities “may constitute domestic terrorism.” Bondi also ordered the FBI to establish a “cash reward system” to encourage the public to report suspected domestic terrorist activity. The memo states that domestic terrorism could include “opposition to law and immigration enforcement” or support for “radical gender ideology.” The Trump administration also is planning to impose social media restrictions on tourists as the president continues to ramp up travel restrictions for foreign visitors. According to a notice from U.S. Customs and Border Protection (CBP), tourists — including those from Britain, Australia, France, and Japan — will soon be required to provide five years of their social media history. The CBP said it will also collect “several high value data fields,” including applicants’ email addresses from the past 10 years, their telephone numbers used in the past five years, and names and details of family members. Wired reported in October that the US CBP executed more device searches at the border in the first three months of the year than any other previous quarter. The new requirements from CBP add meat to the bones of Executive Order 14161, which in the name of combating “foreign terrorist and public safety threats” granted broad new authority that civil rights groups warn could enable a renewed travel ban and expanded visa denials or deportations based on perceived ideology. Critics alleged the order’s vague language around “public safety threats,” creates latitude for targeting individuals based on political views, national origin, or religion. At least 35 nations are now under some form of U.S. travel restrictions. CRIME AND CORRUPTION In February, Trump ordered executive branch agencies to stop enforcing the U.S. Foreign Corrupt Practices Act, which froze foreign bribery investigations, and even allows for “remedial actions” of past enforcement actions deemed “inappropriate.” The White House also disbanded the Kleptocracy Asset Recovery Initiative and KleptoCapture Task Force — units which proved their value in corruption cases and in seizing the assets of sanctioned Russian oligarchs — and diverted resources away from investigating white-collar crime. Also in February, Attorney General Pam Bondi dissolved the FBI’s Foreign Influence Task Force, an entity created during Trump’s first term designed to counter the influence of foreign governments on American politics. In March 2025, Reuters reported that several U.S. national security agencies had halted work on a coordinated effort to counter Russian sabotage, disinformation and cyberattacks. Former President Joe Biden had ordered his national security team to establish working groups to monitor the issue amid warnings from U.S. intelligence that Russia was escalating a shadow war against Western nations. In a test of prosecutorial independence, Trump’s Justice Department ordered prosecutors to drop the corruption case against New York Mayor Eric Adams. The fallout was immediate: Multiple senior officials resigned in protest, the case was reassigned, and chaos engulfed the Southern District of New York (SDNY) – historically one of the nation’s most aggressive offices for pursuing public corruption, white-collar crime, and cybercrime cases. When it comes to cryptocurrency, the administration has shifted regulators at the U.S. Securities and Exchange Commission (SEC) away from enforcement to cheerleading an industry that has consistently been plagued by scams, fraud and rug-pulls. The SEC in 2025 systematically retreated from enforcement against cryptocurrency operators, dropping major cases against Coinbase, Binance, and others. Perhaps the most troubling example involves Justin Sun, the Chinese-born founder of crypto currency company Tron. In 2023, the SEC charged Sun with fraud and market manipulation. Sun subsequently invested $75 million in the Trump family’s World Liberty Financial (WLF) tokens, became the top holder of the $TRUMP memecoin, and secured a seat at an exclusive dinner with the president. In late February 2025, the SEC dropped its lawsuit. Sun promptly took Tron public through a reverse merger arranged by Dominari Securities, a firm with Trump family ties. Democratic lawmakers have urged the SEC to investigate what they call “concerning ties to President Trump and his family” as potential conflicts of interest and foreign influence. In October, President Trump pardoned Changpeng Zhao, the founder of the world’s largest cryptocurrency exchange Binance. In 2023, Zhao and his company pled guilty to failing to prevent money laundering on the platform. Binance paid a $4 billion fine, and Zhao served a four-month sentence. As CBS News observed last month, shortly after Zhao’s pardon application, he was at the center of a blockbuster deal that put the Trump’s family’s WLF on the map. “Zhao is a citizen of the United Arab Emirates in the Persian Gulf and in May, an Emirati fund put $2 billion in Zhao’s Binance,” 60 Minutes reported. “Of all the currencies in the world, the deal was done in World Liberty crypto.” SEC Chairman Paul Atkins has made the agency’s new posture towards crypto explicit, stating “most crypto tokens are not securities.” At the same time, President Trump has directed the Department of Labor and the SEC to expand 401(k) access to private equity and crypto — assets that regulators have historically restricted for retail investors due to high risk, fees, opacity, and illiquidity. The executive order explicitly prioritizes “curbing ERISA litigation,” and reducing accountability for fiduciaries while shifting risk onto ordinary workers’ retirement savings. At the White House’s behest, the U.S. Treasury in March suspended the Corporate Transparency Act, a law that required companies to reveal their real owners. Finance experts warned the suspension would bring back shell companies and “open the flood gates of dirty money” through the US, such as funds from drug gangs, human traffickers, and fraud groups. Trump’s clemency decisions have created a pattern of freed criminals committing new offenses, including Jonathan Braun, whose sentence for drug trafficking was commuted during Trump’s first term, was found guilty in 2025 of violating supervised release and faces new charges. Eliyahu Weinstein, who received a commutation in January 2021 for running a Ponzi scheme, was sentenced in November 2025 to 37 years for running a new Ponzi scheme. The administration has also granted clemency to a growing list of white-collar criminals: David Gentile, a private equity executive sentenced to seven years for securities and wire fraud (functionally a ponzi-like scheme), and Trevor Milton, the Nikola founder sentenced to four years for defrauding investors over electric vehicle technology. The message: financial crimes against ordinary investors is no big deal. At least 10 of the January 6 insurrectionists pardoned by President Trump have already been rearrested, charged or sentenced for other crimes, including plotting the murder of FBI agents, child sexual assault, possession of child sexual abuse material and reckless homicide while driving drunk. The administration also imposed sanctions against the International Criminal Court (ICC). On February 6, 2025, Executive Order 14203 authorized asset freezes and visa restrictions against ICC officials investigating U.S. citizens or allies, primarily in response to the ICC’s arrest warrants for Israeli Prime Minister Benjamin Netanyahu over alleged war crimes in Gaza. Earlier this month the president launched the “Gold Card,” a visa scheme established by an executive order in September that offers wealthy individuals and corporations expedited paths to U.S. residency and citizenship in exchange for $1 million for individuals and $2 million for companies, plus ongoing fees. The administration says it is also planning to offer a “platinum” version of the card that offers special tax breaks — for a cool $5 million. FEDERAL CYBERSECURITY President Trump campaigned for a second term insisting that the previous election was riddled with fraud and had been stolen from him. Shortly after Mr. Trump took the oath of office for a second time, he fired the head of the Cybersecurity and Infrastructure Security Agency (CISA) — Chris Krebs (no relation) — for having the audacity to state publicly that the 2020 election was the most secure in U.S. history. Mr. Trump revoked Krebs’s security clearances, ordered a Justice Department investigation into his election security work, and suspended the security clearances of employees at SentinelOne, the cybersecurity firm where Krebs worked as chief intelligence and public policy officer. The executive order was the first direct presidential action against any US cybersecurity company. Krebs subsequently resigned from SentinelOne, telling The Wall Street Journal he was leaving to push back on Trump’s efforts “to go after corporate interests and corporate relationships.” The president also dismissed all 15 members of the Cyber Safety Review Board (CSRB), a nonpartisan government entity established in 2022 with a mandate to investigate the security failures behind major cybersecurity events — likely because those advisors included Chris Krebs. At the time, the CSRB was in the middle of compiling a much-anticipated report on the root causes of Chinese government-backed digital intrusions into at least nine U.S. telecommunications providers. Not to be outdone, the Federal Communication Commission quickly moved to roll back a previous ruling that required U.S. telecom carriers to implement stricter cybersecurity measures. Meanwhile, CISA has lost roughly a third of its workforce this year amid mass layoffs and deferred resignations. When the government shutdown began in October, CISA laid off even more employees and furloughed 65 percent of the remaining staff, leaving only 900 employees working without pay. Additionally, the Department of Homeland Security has reassigned CISA cyber specialists to jobs supporting the president’s deportation agenda. As Bloomberg reported earlier this year, CISA employees were given a week to accept the new roles or resign, and some of the reassignments included relocations to new geographic areas. The White House has signaled that it plans to cut an additional $491 million from CISA’s budget next year, cuts that primarily target CISA programs focused on international affairs and countering misinformation and foreign propaganda. The president’s budget proposal justified the cuts by repeating debunked claims about CISA engaging in censorship. The Trump administration has pursued a similar reorganization at the FBI: The Washington Post reported in October that a quarter of all FBI agents have now been reassigned from national security threats to immigration enforcement. Reuters reported last week that the replacement of seasoned leaders at the FBI and Justice Department with Trump loyalists has led to an unprecedented number of prosecutorial missteps, resulting in a 21 percent dismissal rate of the D.C. U.S. attorney’s office criminal complaints over eight weeks, compared to a mere .5% dismissal rate over the prior 10 years. “These mistakes are causing department attorneys to lose credibility with federal courts, with some judges quashing subpoenas, threatening criminal contempt and issuing opinions that raise questions about their conduct,” Reuters reported. “Grand juries have also in some cases started rejecting indictments, a highly unusual event since prosecutors control what evidence gets presented.” In August, the DHS banned state and local governments from using cyber grants on services provided by the Multi-State Information Sharing and Analysis Center (MS-ISAC), a group that for more than 20 years has shared critical cybersecurity intelligence across state lines and provided software and other resources at free or heavily discounted rates. Specifically, DHS barred states from spending funds on services offered by the Elections Infrastructure ISAC, which was effectively shuttered after DHS pulled its funding in February. Cybersecurity Dive reports that the Trump administration’s massive workforce cuts, along with widespread mission uncertainty and a persistent leadership void, have interrupted federal agencies’ efforts to collaborate with the businesses and local utilities that run and protect healthcare facilities, water treatment plans, energy companies and telecommunications networks. The publication said the changes came after the US government eliminated CIPAC — a framework that allowed private companies to share cyber and threat intel without legal penalties. “Government leaders have canceled meetings with infrastructure operators, forced out their longtime points of contact, stopped attending key industry events and scrapped a coordination program that made companies feel comfortable holding sensitive talks about cyberattacks and other threats with federal agencies,” Cybersecurity Dive’s Eric Geller wrote. Both the National Security Agency (NSA) and U.S. Cyber Command have been without a leader since Trump dismissed Air Force General Timothy Haugh in April, allegedly for disloyalty to the president and at the suggestion of far-right conspiracy theorist Laura Loomer. The nomination of Army Lt. Gen. William Hartman for the same position fell through in October. The White House has ordered the NSA to cut 8 percent of its civilian workforce (between 1,500 and 2,000 employees). As The Associated Press reported in August, the Office of the Director of National Intelligence plans to dramatically reduce its workforce and cut its budget by more than $700 million annually. Director of National Intelligence Tulsi Gabbard said the cuts were warranted because ODNI had become “bloated and inefficient, and the intelligence community is rife with abuse of power, unauthorized leaks of classified intelligence, and politicized weaponization of intelligence.” The firing or forced retirements of so many federal employees has been a boon to foreign intelligence agencies. Chinese intelligence agencies, for example, reportedly moved quickly to take advantage of the mass layoffs, using a network of front companies to recruit laid-off U.S. government employees for “consulting work.” Former workers with the Defense Department’s Defense Digital Service who resigned en-masse earlier this year thanks to DOGE encroaching on their mission have been approached by the United Arab Emirates to work on artificial intelligence for the oil kingdom’s armed forces, albeit reportedly with the blessing of the Trump administration. FREE SPEECH, PRESS President Trump has filed multibillion-dollar lawsuits against a number of major news outlets over news segments or interviews that allegedly portrayed him in a negative light, suing the networks ABC, the BBC, the CBS parent company Paramount, The Wall Street Journal, and The New York Times, among others. The president signed an executive order aimed at slashing public subsidies to PBS and NPR, alleging “bias” in the broadcasters’ reporting. In July, Congress approved a request from Trump to cut $1.1 billion in federal funding for the Corporation for Public Broadcasting, the nonprofit entity that funds PBS and NPR. Brendan Carr, the president’s pick to run the Federal Communications Commission (FCC), initially pledged to “dismantle the censorship cartel and restore free speech rights for everyday Americans.” But on January 22, 2025, the FCC reopened complaints against ABC, CBS and NBC over their coverage of the 2024 election. The previous FCC chair had dismissed the complaints as attacks on the First Amendment and an attempt to weaponize the agency for political purposes. President Trump in February seized control of the White House Correspondents’ Association, the nonprofit entity that decides which media outlets should have access to the White House and the press pool that follows the president. The president invited an additional 32 media outlets, mostly conservative or right-wing organizations. According to the journalism group Poynter.org, there are three religious networks, all of which lean conservative, as well as a mix of outlets that includes a legacy paper, television networks, and a digital outlet powered by artificial intelligence. Trump also barred The Associated Press from the White House over their refusal to refer to the Gulf of Mexico as the Gulf of America. Under Trump appointee Kari Lake, the U.S. Agency for Global Media moved to dismantle Voice of America, Radio Free Europe/Radio Liberty, and other networks that for decades served as credible news sources behind authoritarian lines. Courts blocked shutdown orders, but the damage continues through administrative leave, contract terminations, and funding disputes. President Trump this term has fired most of the people involved in processing Freedom of Information Act (FOIA) requests for government agencies. FOIA is an indispensable tool used by journalists and the public to request government records, and to hold leaders accountable. Petitioning the government, particularly when it ignores your requests, often requires challenging federal agencies in court. But that becomes far more difficult if the most competent law firms start to shy away from cases that may involve crossing the president and his administration. On March 22, the president issued a memorandum that directs heads of the Justice and Homeland Security Departments to “seek sanctions against attorneys and law firms who engage in frivolous, unreasonable and vexatious litigation against the United States,” or in matters that come before federal agencies. The Trump administration announced increased vetting of applicants for H-1B visas for highly skilled workers, with an internal State Department memo saying that anyone involved in “censorship” of free speech should be considered for rejection. Executive Order 14161, issued in 2025 on “foreign terrorist and public safety threats,” granted broad new authority that civil rights groups warn could enable a renewed travel ban and expanded visa denials or deportations based on perceived ideology. Critics charged that the order’s vague language around “public safety threats” creates latitude for targeting individuals based on political views, national origin, or religion. CONSUMER PROTECTION, PRIVACY At the beginning of this year, President Trump ordered staffers at the Consumer Financial Protection Bureau (CFPB) to stop most work. Created by Congress in 2011 to be a clearinghouse of consumer complaints, the CFPB has sued some of the nation’s largest financial institutions for violating consumer protection laws. The CFPB says its actions have put nearly $18 billion back in Americans’ pockets in the form of monetary compensation or canceled debts, and imposed $4 billion in civil money penalties against violators. The Trump administration said it planned to fire up to 90 percent of all CFPB staff, but a recent federal appeals court ruling in Washington tossed out an earlier decision that would have allowed the firings to proceed. Reuters reported this week that an employee union and others have battled against it in court for ten months, during which the agency has been almost completely idled. The CFPB’s acting director is Russell Vought, a key architect of the GOP policy framework Project 2025. Under Vought’s direction, the CFPB in May quietly withdrew a data broker protection rule intended to limit the ability of U.S. data brokers to sell personal information on Americans. Despite the Federal Reserve’s own post-mortem explicitly blaming Trump-era deregulation for the 2023 Silicon Valley Bank collapse, which triggered a fast-moving crisis requiring emergency weekend bailouts of Banks, Trump’s banking regulators in 2025 doubled down. They loosened capital requirements, narrowed definitions of “unsafe” banking practices, and stripped specific risk categories from supervisory frameworks. The setup for another banking crisis requiring taxpayer intervention is now in place. The Privacy Act of 1974, one of the few meaningful federal privacy laws, was built on the principles of consent and separation in response to the abuses of power that came to light during the Watergate era. The law states that when an individual provides personal information to a federal agency to receive a particular service, that data must be used solely for its original purpose. Nevertheless, it emerged in June that the Trump administration has built a central database of all US citizens. According to NPR, the White House plans to use the new platform during upcoming elections to verify the identity and citizenship status of US voters. The database was built by the Department of Homeland Security and the Department of Governmental Efficiency and is being rolled out in phases to US states. DOGE Probably the biggest ungotten scoop of 2025 is the inside story of what happened to all of the personal, financial and other sensitive data that was accessed by workers at the so-called Department of Government Efficiency (DOGE). President Trump tapped Elon Musk to lead the newly created department, which was mostly populated by current and former employees of Musk’s various technology companies (including a former denizen of the cybercrime community known as the “Com”). It soon emerged that the DOGE team was using artificial intelligence to surveil at least one federal agency’s communications for hostility to Mr. Trump and his agenda. DOGE employees were able to access and synthesize data taken from a large number of previously separate and highly guarded federal databases, including those at the Social Security Administration, the Department of Homeland Security, the Office of Personnel Management, and the U.S. Department of the Treasury. DOGE staffers did so largely by circumventing or dismantling security measures designed to detect and prevent misuse of federal databases, including standard incident response protocols, auditing, and change-tracking mechanisms. For example, an IT expert with the National Labor Relations Board (NLRB) alleges that DOGE employees likely downloaded gigabytes of data from agency case files in early March, using short-lived accounts that were configured to leave few traces of network activity. The NLRB whistleblower said the large data outflows coincided with multiple blocked login attempts from addresses in Russia, which attempted to use valid credentials for a newly-created DOGE user account. The stated goal of DOGE was to reduce bureaucracy and to massively cut costs — mainly by eliminating funding for a raft of federal initiatives that had already been approved by Congress. The DOGE website claimed those efforts reduced “wasteful” and “fraudulent” federal spending by more than $200 billion. However, multiple independent reviews by news organizations determined the true “savings” DOGE achieved was off by a couple of orders of magnitude, and was likely closer to $2 billion. At the same time DOGE was slashing federal programs, President Trump fired at least 17 inspectors general at federal agencies — the very people tasked with actually identifying and stopping waste, fraud and abuse at the federal level. Those included several agencies (such as the NLRB) that had open investigations into one or more of Mr. Musk’s companies for allegedly failing to comply with protocols aimed at protecting state secrets. In September, a federal judge found the president unlawfully fired the agency watchdogs, but none of them have been reinstated. Where is DOGE now? Reuters reported last month that as far as the White House is concerned, DOGE no longer exists, even though it technically has more than half a year left to its charter. Meanwhile, who exactly retains access to federal agency data that was fed by DOGE into AI tools is anyone’s guess. KrebsOnSecurity would like to thank the anonymous researcher NatInfoSec for assisting with the research on this story. 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It's the last week before Christmas, which means that the holiday shopping season is quickly wrapping up. With this in mind, we're recapping all of the best last-minute deals you can find online this week, but be warned that guaranteed delivery by December 25th is going to be increasingly difficult to find over the next few days. Note: MacRumors is an affiliate partner with some of these vendors. When you click a link and make a purchase, we may receive a small payment, which helps us keep the site running. AirPods Pro 3 What's the deal? Take $50 off AirPods Pro 3 Where can I get it? Amazon Where can I find the original deal? Right here $50 OFFAirPods Pro 3 for $199.00 Apple's AirPods Pro 3 hit a record low price of $199.00 this week on Amazon, down from $249.00, and they're still available today. This deal beats the Black Friday price we saw last month by about $20. Samsung What's the deal? Save sitewide on Samsung TVs, monitors, and more Where can I get it? Samsung Where can I find the original deal? Right here $600 OFF65" The Frame for $1,199.99 Samsung expanded its ongoing holiday event this week, introducing great deals on monitors, storage accessories, TVs, Galaxy smartphones, and home appliances. Many of these deals are the exact same all-time low prices we tracked during Black Friday and Cyber Monday. TVs 55-inch QLED QEF1 Smart TV - $379.99, down from $599.99 55-inch QLED Q7F Smart TV - $399.99, down from $529.99 55-inch QLED Q8F Smart TV - $599.99, down from $749.99 55-inch OLED S95F Smart TV - $1,899.99, down from $2,299.99 75-inch The Frame Pro - $1,999.99, down from $3,199.99 85-inch Neo QLED QN90F Smart TV - $2,299.99, down from $4,499.99 Monitors 43-inch Odyssey Neo G7 Smart Gaming Monitor - $549.99, down from $999.99 27-inch Odyssey OLED G6 Gaming Monitor - $599.99, down from $899.99 49-inch Odyssey G9 Gaming Monitor - $777.99, down from $1,299.99 49-inch Odyssey OLED G9 Monitor - $899.99, down from $1,799.99 55-inch Odyssey Ark 2nd Gen - $1,299.99, down from $2,699.99 57-inch Odyssey Neo G9 Curved Gaming Monitor - $1,499.99, down from $2,299.99 MacBook Air What's the deal? Take $250 off M4 MacBook Air Where can I get it? Amazon Where can I find the original deal? Right here $250 OFF13-inch M4 MacBook Air (256GB) for $749.00 $250 OFF15-inch M4 MacBook Air (256GB) for $949.00 You can get the 13-inch M4 MacBook Air (256GB) for $749.00 this week on Amazon, down from $999.00, with Christmas delivery for select colors. This price matches the Amazon all-time low price on the M4 MacBook Air, and there are similar lows on other models with higher storage. Sonos What's the deal? Get up to 25% off home audio devices Where can I get it? Sonos Where can I find the original deal? Right here UP TO 25% OFFSonos Last-Minute Holiday Sale Sonos this week introduced a last-minute holiday sale, offering up to 25 percent off the company's most popular devices. This includes the Sonos Ace headphones, Arc Ultra soundbar, Move 2 speaker, and more, with many prices matching the deals we saw over Black Friday. Apple Watch What's the deal? Take up to $100 off Apple Watch SE 3 and Series 11 Where can I get it? Amazon Where can I find the original deal? Right here $100 OFFApple Watch Series 11 (42mm GPS) for $299.00 $100 OFFApple Watch Series 11 (46mm GPS) for $329.00 $50 OFF40mm GPS Apple Watch SE 3 for $199.00 $50 OFF44mm GPS Apple Watch SE 3 for $229.00 Amazon has a few record low prices on multiple Apple Watch models this week, including the Apple Watch Series 11 and Apple Watch SE 3. These have been some of the most consistent deals to stick around after Black Friday, and they're available in multiple color options and sizes. If you're on the hunt for more discounts, be sure to visit our Apple Deals roundup where we recap the best Apple-related bargains of the past week. Deals Newsletter Interested in hearing more about the best deals you can find this holiday season? Sign up for our Deals Newsletter and we'll keep you updated so you don't miss the biggest deals of the season! Related Roundup: Apple Deals This article, "Best Apple Deals of the Week: AirPods Pro 3 for $199, Plus Sitewide Sales at Samsung and Sonos" first appeared on MacRumors.com Discuss this article in our forums View the full article

Docker Captains are leaders from the developer community that are both experts in their field and are passionate about sharing their Docker knowledge with others. “From the Captain’s Chair” is a blog series where we get a closer look at one Captain to learn more about them and their experiences. Today we are interviewing Igor Aleksandrov. Igor is the CTO and co-founder of JetRockets, a Ruby on Rails development agency based in NYC, bringing over 20 years of software engineering experience and a deep commitment to the Rails ecosystem since 2008. He’s an open-source contributor to projects like the Crystal programming language and Kamal, a regular conference speaker sharing expertise on different topics from container orchestration to migration from React to Hotwire. Can you share how you first got involved with Docker? What inspired you to become a Docker Captain? Looking back at my journey to becoming a Docker Captain, it all started with a very practical problem that many Rails teams face: dependency hell. By 2018, JetRockets had been building Ruby on Rails applications for years. I’d been working with Rails since version 2.2 back in 2009, and we had established solid development practices. But as our team grew and our projects became more complex, we kept running into the same frustrating issues: “It works on my machine” became an all-too-common phrase during deployments Setting up new developer environments was a time-consuming process fraught with version mismatches Our staging and production environments occasionally behaved differently despite our best efforts Managing system-level dependencies across different projects was becoming increasingly complex We needed a unified way to manage application dependencies that would work consistently across development, staging, and production environments. Unlike many teams that start with Docker locally and gradually move to production, we decided to implement Docker in production and staging first. This might sound risky, but it aligned perfectly with our goal of achieving true environment parity. We chose our first Rails application to containerize and started writing our first Dockerfile. Those early Dockerfiles were much simpler than the highly optimized ones we create today, but they solved our core problem: every environment now ran the same container with the same dependencies. Even though AWS Beanstalk has never been a developer friendly solution, the goal was reached – we had achieved true environment consistency, and the mental overhead of managing different configurations across environments had virtually disappeared. That initial Docker adoption in 2018 sparked a journey that would eventually lead to me becoming a Docker Captain. What began with a simple need for dependency management evolved into deep expertise in container optimization, advanced deployment strategies with tools like Kamal, and ultimately contributing back to the Docker community. Today, I write extensively about Rails containerization best practices, from image slimming techniques to sophisticated CI/CD pipelines. But it all traces back to that moment in 2019 when we decided to solve our dependency challenges with Docker. What are some of your personal goals for the next year? I want to speak at more conferences and meetups, sharing the expertise I’ve built over the years. Living in the Atlanta area, I would like to become more integrated into the local tech community. Atlanta has such a vibrant IT scene, and I think there’s a real opportunity to contribute here. Whether that’s organizing Docker meetups, participating in Rails groups, or just connecting with other CTOs and technical leaders who are facing similar challenges. If you weren’t working in tech, what would you be doing instead? If I weren’t working in tech, I think I’d be doing woodworking. There’s something deeply satisfying about creating things with your hands, and woodworking offers that same creative problem-solving that draws me to programming – except you’re working with natural materials and traditional tools instead of code. I truly enjoy working with my hands and seeing tangible results from my efforts. In many ways, building software and building furniture aren’t that different – you’re taking raw materials, applying craftsmanship and attention to detail, and creating something functional and beautiful. If not woodworking, I’d probably pursue diving. I’m already a PADI certified rescue diver, and I truly like the ocean. There’s something about the underwater world that’s entirely different from our digital lives – it’s peaceful, challenging, and always surprising. Getting my diving instructor certification and helping others discover that underwater world would be incredibly rewarding. Can you share a memorable story from collaborating with the Docker community? One of the most rewarding aspects of being a Docker Captain is our regular Captains meetings, and honestly, I enjoy each one of them. These aren’t just typical corporate meetings – they’re genuine collaborations with some of the most passionate and knowledgeable people in the containerization space. What makes these meetings special is the diversity of perspectives. You have Captains from completely different backgrounds – some focused on enterprise Kubernetes deployments, others working on AI, developers like me optimizing Rails applications, and people solving problems I’ve never even thought about. What’s your favorite Docker product or feature right now, and why? Currently, I’m really excited about the Build Debugging feature that was recently integrated into VS Code. As someone who spends a lot of time optimizing Rails Dockerfiles and writing about containerization best practices, this feature has been a game-changer for my development workflow. When you’re crafting complex multi-stage builds for Rails applications – especially when you’re trying to optimize image size, manage build caches, and handle dependencies like Node.js and Ruby gems – debugging build failures used to be a real pain. Can you walk us through a tricky technical challenge you solved recently? Recently, I was facing a really frustrating development workflow issue that I think many Rails developers can relate to. We had a large database dump file, about 150GB, that we needed to use as a template for local development. The problem was that restoring this SQL dump into PostgreSQL was taking up to an hour every time we needed to reset our development database to a clean state. For a development team, this was killing our productivity. Every time someone had to test a migration rollback, debug data-specific issues, or just start fresh, they’d have to wait an hour for the database restore. That’s completely unacceptable. Initially, we were doing what most teams do: running pg_restore against the SQL dump file directly. But with a 150GB database, this involves PostgreSQL parsing the entire dump, executing thousands of INSERT statements, rebuilding indexes, and updating table statistics. It’s inherently slow because the database engine has to do real work. I realized the bottleneck wasn’t the data itself – it was the database restoration process. So I wrote a Bash script that takes an entirely different approach: Create a template volume: Start with a fresh Docker volume and spin up a PostgreSQL container One-time restoration: Restore the SQL dump into this template database (this still takes an hour, but only once) Volume snapshot: Use a BusyBox container to copy the entire database volume at the filesystem level Instant resets: When developers need a fresh database, just copy the template volume to a new working volume The magic is in step 4. Instead of restoring from SQL, we’re essentially copying files at the Docker volume level. This takes seconds instead of an hour because we’re just copying the already-processed PostgreSQL data files. Docker volumes are just filesystem directories under the hood. PostgreSQL stores its data in a very specific directory structure with data files, indexes, and metadata. By copying the entire volume, we’re getting a perfect snapshot of the database in its “ready to use” state. The script handles all the orchestration – creating volumes, managing container lifecycles, and ensuring the copied database starts up cleanly. What used to be a one-hour reset cycle is now literally 5-10 seconds. Developers can experiment freely, test destructive operations, and reset their environment without hesitation. It’s transformed how our team approaches database-dependent development. What’s one Docker tip you wish every developer knew? If something looks weird in your Dockerfile, you are doing it wrong. This is the single most important lesson I’ve learned from years of optimizing Rails Dockerfiles. I see this constantly when reviewing other developers’ container setups – there’s some convoluted RUN command, a bizarre COPY pattern, or a workaround that just feels off. Your Dockerfile should read like clean, logical instructions. If you find yourself writing something like: RUN apt-get update && apt-get install -y wget && \ wget some-random-script.sh && chmod +x some-random-script.sh && \ ./some-random-script.sh && rm some-random-script.sh …you’re probably doing it wrong. The best Dockerfiles are almost boring in their simplicity and clarity. Every line should have a clear purpose, and the overall flow should make sense to anyone reading it. If you’re adding odd hacks, unusual file permissions, or complex shell gymnastics, step back and ask why. This principle has saved me countless hours of debugging. Instead of trying to make unusual things work, I’ve learned to redesign the approach. Usually, there’s a cleaner, more standard way to achieve what you’re trying to do. If you could containerize any non-technical object in real life, what would it be and why? If I could containerize any non-technical object, it would definitely be knowledge itself. Imagine being able to package up skills, experiences, and expertise into portable containers that you could load and unload from your mind as needed. As someone who’s constantly learning new technologies and teaching others, I’m fascinated by how we acquire and transfer knowledge. Currently, if I want to dive deep into a new programming language like I did with Crystal, or master a deployment tool like Kamal, it takes months of dedicated study and practice. But what if knowledge worked like Docker containers? You could have a “Ruby 3.3 expertise” container, a “Advanced Kubernetes” container, or even a “Woodworking joinery techniques” container. Need to debug a complex Rails application? Load the container. Working on a diving certification course? Swap in the marine biology knowledge base. The real power would be in the consistency and portability – just like how Docker containers ensure your application runs the same way everywhere, knowledge containers would give you the same depth of understanding regardless of context. No more forgetting syntax, no more struggling to recall that one debugging technique you learned years ago. Plus, imagine the collaborative possibilities. Experienced developers could literally package their hard-earned expertise and share it with the community. It would democratize learning in the same way Docker democratized deployment. Of course, the human experience of learning and growing would be lost, but from a pure efficiency standpoint? That would be incredible. Where can people find you online? (talks, blog posts, or open source projects, etc) I am always active in X (@igor_alexandrov) and on LinkedIn. I try to give at least 2-3 talks at tech conferences and meetups each year, and besides this, I have my personal blog. Rapid Fire Questions Cats or Dogs? Dogs Morning person or night owl? Both Favorite comfort food? Dumplings One word friends would use to describe you? Perfectionist A hobby you picked up recently? Cycling View the full article

Earlier this week, we took a major step forward for the industry. Docker Hardened Images (DHI) is now available at no cost, bringing secure-by-default development to every team, everywhere. Anyone can now start from a secure, minimal, production-ready foundation from the first pull, without a subscription. With that decision comes a responsibility: if Docker Hardened Images become the new starting point for modern development, then developers must be able to trust them completely. Not because we say they’re secure, but because they prove it: under scrutiny, under pressure, and through independent validation. Security threats evolve constantly. Supply chains grow more complex. Attackers get smarter. The only way DHI stays ahead is by continuously pushing our security forward. That’s why we partnered with SRLabs, one of the world’s leading cybersecurity research groups, known for uncovering high-impact vulnerabilities in highly sensitive systems. We gave them everything they needed to challenge us: full transparency, full access, no restrictions. At Docker, we understand that trust is not earned through claims, it is earned through testing, validation and a commitment to do this continuously. Phase One: Grey Box Assessment SRLabs started with a grey box assessment focused on how we build, sign, scan, and distribute hardened images. They validated our provenance chain, our signing practices, and our vulnerability management workflow. One of the first things they called out was the strength of our verifiability model. Every artifact in DHI carries SLSA Build Level 3 provenance and Cosign signatures, all anchored in transparency logs via Rekor. This gives users a clear, cryptographically verifiable trail for where every hardened image came from and how it was built. As SRLabs put it: “Docker incorporates signed provenance with Cosign, providing a verifiable audit trail aligned with SLSA level 3 standards.” They also highlighted the speed and clarity of our vulnerability management process. Every image includes an SBOM and VEX data, and our automated rebuild system responds quickly when new CVEs appear. SRLabs noted: “Fast patching. Docker promises a 7 day patch SLA, greatly reducing vulnerability exposure windows.” They validated the impact of our minimization strategy as well. Non root by default, reduced footprint, and the removal of unnecessary utilities dramatically reduce what an attacker could exploit inside a container. Their assessment: “Non root, minimal container images significantly reduce attack vectors compared to traditional images.” After three weeks of targeted testing, including adversarial modeling and architectural probing, SRLabs came back with a clear message: no critical vulnerabilities, no high-severity exploitation paths, just a medium residual risk driven by industry-wide challenges like key stewardship and upstream trust. And the best part? The architecture is already set up to reach even higher assurance without needing a major redesign. In their words: “Docker Hardened Images deliver on their public security promises for today’s threat landscape.” “No critical or high severity break outs were identified.” And “By implementing recommended hardening steps, Docker can raise assurance to the level expected of a reference implementation for supply chain security without major re engineering.” Throughout the assessment, our engineering teams worked closely with SRLabs. Several findings, such as a labeling issue and a race condition, were resolved during the engagement. Others, including a prefix-hijacking edge case, moved into remediation quickly. For SRLabs, this responsiveness showed more than secure technology; it demonstrated a security-first culture where issues are triaged fast, fixes land quickly, and collaboration is part of the process. SRLabs pointed to places where raising the bar would make DHI even stronger, and we are already acting on them. They told us our signing keys should live in Hardware Security Modules with quorum controls, and that we should move toward a keyless Fulcio flow, so we have started that work right away. They pointed out that offline environments need better protection against outdated or revoked signatures, and we are updating our guidance and exploring freshness checks to close that gap.They also flagged that privileged builds weaken reproducibility and SBOM accuracy. Several of those builds have already been removed or rebuilt, and the rest are being redesigned to meet our hardening standards. You can read more about the findings from the report here. Phase Two: Full White Box Assessment Grey box testing is just the beginning. This next phase goes much deeper. SRLabs will step into the role of an insider-level attacker. They’ll dig through code paths, dependency chains, and configuration logic. They’ll map every trust boundary, hunt for logic flaws, and stress-test every assumption baked into the hardened image pipeline. We expect to share that report in the coming months. SRLabs showed us how DHI performs under pressure, but validation in the lab is only half the story. The real question is: what happens when teams put Docker at the center of their daily work? The good news is, we have the data. When organizations adopt Docker, the impact reaches far beyond reducing vulnerabilities. New research from theCUBE, based on a survey of 393 IT, platform, and engineering leaders, reveals that 95 percent improved vulnerability detection and remediation, 93 percent strengthened policy and compliance, and 81 percent now meet most or all of their security goals across the entire SDLC. You can read about it in the report linked above. By combining Independent validation, Continuous security testing and Transparent attestations and provenance, Docker is raising the baseline for what secure software supply chains should look like. The full white-box report from SRLabs will be shared when complete, and every new finding, good or bad, will shape how we continue improving DHI. Being secure-by-default is something we aim to prove, continuously. View the full article

Starting with tvOS 26.2, Apple TVs began displaying a user profile selection screen every time you wake the device from sleep. The feature helps households with multiple users maintain separate viewing histories and recommendations, but it can feel like an unnecessary step if you're the sole user. Fortunately, Apple lets you disable this prompt entirely. Here's how to turn off the user profiles screen and go straight to your Home screen. Disable the User Profile Selection Screen Open Settings on your Apple TV. Select Profiles and Accounts. Toggle off Choose Profile on Wake. With this setting disabled, your Apple TV will skip the profile selection screen and take you directly to the Home Screen when you wake it. What Happens When You Disable Profile Switching Turning off the profile switcher doesn't delete your user profiles or their associated watch history and recommendations. It simply removes the prompt that appears each time you turn on your TV or Apple TV. If you share your Apple TV with others and want to switch profiles manually, you can still access profile options by going to Settings ➝ Users and Accounts and selecting a different user profile from there. To learn more about how user profiles can be genuinely useful, check out our dedicated hands-on article. This article, "Turn Off the User Profiles Screen on Apple TV 4K" first appeared on MacRumors.com Discuss this article in our forums View the full article

Today marks nine years since Apple launched the original AirPods. Unveiled in September 2016 alongside the iPhone 7, the wireless headphones became available on December 19, 2016, following a slight delay. At the time, wireless headphones were already on the market but had not yet reached true mass popularity. AirPods helped redefine the category through their convenience and seamless integration with Apple devices. Apple's Phil Schiller at the time:AirPods are the first headphones to deliver a breakthrough wireless audio experience, and with the new Apple W1 chip they deliver innovative features including high quality sound, great battery life and automatic setup. AirPods are simple and magical to use, with no switches or buttons, automatically connecting to all your Apple devices simply and seamlessly, and letting you access Siri with just a double tap. We can't wait for users to try them with iPhone 7 and Apple Watch Series 2. Priced at $159, the first-generation AirPods introduced key features such as one-tap pairing with Apple devices and in-ear detection for automatic play-pause functionality. Powered by Apple's custom W1 chip, they delivered enhanced audio quality compared to wired EarPods and set a new standard for battery life in a compact, completely wireless design. AirPods were initially met with skepticism following their unveiling, with much of the reaction focused on their unconventional stem-based design and the removal of the headphone jack on the ‌iPhone‌ 7. The earbuds were widely mocked online and compared to wired EarPods with the cables cut off, while some critics questioned their practicality and battery life. However, early reviews and real-world use quickly shifted perceptions, as the convenience of automatic pairing, reliable wireless performance, and all-day battery life made AirPods increasingly popular among ‌iPhone‌ users. AirPods quickly grew into one of Apple's most successful accessories, helping to normalize truly wireless earbuds and accelerating the decline of the traditional headphone jack across the industry. While Apple does not disclose sales figures, analysts estimate that tens of millions of units are sold each year, making AirPods the best-selling wireless earbuds globally and a major contributor to Apple's wearables revenue. Since their debut, AirPods have evolved with the release of second-, third-, and fourth-generation models in March 2019, October 2021, and September 2024. These updates brought improvements such as better audio quality, longer battery life, hands-free "Hey Siri" functionality, a wireless charging case, and, most recently, active noise cancellation. A fifth-generation is believed to be in the works. The product line has also expanded with the premium AirPods Pro, featuring an in-ear design and active noise cancellation, in October 2019, and the over-ear AirPods Max in December 2020.Related Roundup: AirPods 4Buyer's Guide: AirPods (Neutral)Related Forum: AirPods This article, "AirPods Now Closing in on a Decade" first appeared on MacRumors.com Discuss this article in our forums View the full article

Samsung has officially unveiled the Exynos 2600, the world's first 2 nanometer mobile system-on-a-chip (SoC), built on the company's Gate-All-Around (GAA) process. The 10-core ARM-based design aims to deliver improved performance and efficiency for flagship devices like the upcoming Galaxy S26 series. The chip uses Arm's latest cores and supports new instructions for improved CPU speed and on-device AI, with Samsung claiming up to a 39 percent boost in CPU performance and 113 percent faster NPU performance, enabling larger and more efficient AI workloads. Its GPU is based on the latest Xclipse design, which Samsung says doubles previous graphics performance and boosts ray tracing by up to 50 percent. Earlier Exynos processors earned a poor reputation for running hot and throttling performance, particularly when compared with competing chips from Apple. To address those shortcomings, Samsung has introduced a new thermal approach called Heat Path Block (HPB). The technique uses a High-k EMC material to improve heat dissipation, enabling the Exynos 2600 to maintain higher performance levels for longer periods, even under sustained heavy workloads, claims Samsung. Apple is widely expected to adopt the 2nm process node for several devices in 2026, albeit using TSMC's 2nm (N2) process. Apple has reportedly secured a significant portion of TSMC's initial N2 production capacity, with the A20 and A20 Pro chips for the iPhone 18 lineup expected to be the first Apple silicon built on this node. The N2-based processors would succeed Apple's A17 Pro through A19 Pro chips, fabricated using TSMC's series of 3nm processes. Compared to current 3nm chips, TSMC's 2nm process promises up to 15 percent higher performance at the same power level, or 25 to 30 percent lower power consumption at the same performance level. The process also achieves approximately 15 percent higher transistor density, allowing more functionality to be packed into the same physical space. Apple's first 2nm chips are likely to debut in iPhone 18 Pro models and Apple's first foldable iPhone, all of which are expected to launch in late 2026. Beyond iPhones, Apple's M6 series for future Macs could also use TSMC's 2nm process, although we haven't heard any specific rumors that this will be the case. Tags: 2nm, Samsung This article, "Samsung Announces World's First 2nm Mobile Chip Ahead of Apple" first appeared on MacRumors.com Discuss this article in our forums View the full article

Teams waste countless hours on manual fixes and scaling that grind progress to a halt. Top NoOps Services fully automate infrastructure management, freeing developers to build innovative features that drive real business value.​ What Are NoOps Services? NoOps Services deliver self-managing infrastructure that operates independently without dedicated human operations teams. Advanced automation manages provisioning, scaling, monitoring, and recovery via declarative code and intelligent cloud-native platforms.​ NoOps eliminates all traditional operations tasks entirely. Systems automatically self-heal, scale on demand, and deploy continuously without intervention. Organizations achieve massive cost savings and dramatically faster delivery cycles free from operations bottlenecks.​ Enterprises deploy NoOps for serverless architectures, cloud-native applications, and resilient CI/CD pipelines that run flawlessly 24/7. Reliable performance emerges without constant oversight from operations specialists.​ Key Benefits of NoOps Services NoOps slashes operations costs by 60% through comprehensive automation that runs perpetually. Engineering teams eradicate manual scaling, patching, and incident response permanently.​ Deployments accelerate 10x via continuous delivery pipelines. Self-healing mechanisms eliminate downtime proactively. Usage-based auto-scaling delivers predictable cloud expenses.​ Developers gain full ownership of delivery pipelines. Innovation surges without operations handoffs. Automated policy-as-code ensures continuous compliance.​ NoOps Lifecycle Practices NoOps implements automation spanning the entire technology stack. Infrastructure manifests as version-controlled code. GitOps pipelines enable instant deployments. Observability drives autonomous remediation loops. PracticePurposeTools/ApproachIaCAuto-provisionTerraform, CloudFormation ​CI/CDContinuous deployGitHub Actions, ArgoCD ​Auto-scalingHandle demandKubernetes HPA, Serverless ​Self-healingZero downtimeCircuit breakers, auto-restart ​ObservabilityProactive fixesPrometheus, Datadog ​ These layered automation practices guarantee NoOps success across projects.​ NoOps Services vs DevOps NoOps automates operations completely, eliminating human involvement. DevOps distributes responsibilities across development and operations teams. NoOps removes operations teams permanently.​ AspectNoOps ServicesDevOpsOps TeamNone, fully automatedShared dev/ops ​FocusDeveloper productivityCollaboration ​ScalingPredictive auto-scaleManual + auto ​CostLowest ops overheadModerate team costs ​SpeedFastest deliveryFast with pipelines ​ NoOps represents the ultimate evolution of DevOps automation principles.​ Core Features of NoOps Services Leading NoOps Services provide comprehensive automation consulting, implementation, training, and ongoing managed operations. Self-service developer portals, policy-as-code enforcement, and continuous monitoring form the foundation.​ Serverless and container orchestration scale autonomously. Real-time observability dashboards provide instant visibility. Security and compliance scanning execute continuously. Ready-to-deploy Infrastructure as Code templates Intuitive self-service developer portals Intelligent auto-scaling and self-healing systems Complete compliance and security automation 24/7 managed operations support​ Strategic consulting defines migration roadmaps. Implementation delivers production-ready automation swiftly.​ Challenges NoOps Services Solve Critical skills gaps hinder automation adoption industry-wide. NoOps Services deliver specialized expertise and comprehensive training programs.​ Organizational resistance to cultural transformation proves common. Guided transitions to self-service models accelerate adoption. Multi-cloud strategies mitigate vendor lock-in risks effectively.​ Legacy infrastructure resists modernization. Phased migration strategies enable seamless transitions. FinOps tools prevent cost overruns proactively.​ Real-World Success Stories Fast-growing startups achieve 10x scale without operations hires through serverless NoOps architectures.​ Large enterprises reduce AWS spend by 50% via automated optimization and compliance enforcement.​ Healthcare organizations maintain zero downtime through resilient self-healing infrastructure.​ NoOps Best Practices Adopt Infrastructure as Code universally from day one. Deploy self-service portals enabling developer autonomy. Prioritize serverless architectures strategically.​ Enforce governance through policy-as-code. Implement comprehensive observability for autonomous remediation. Design for proactive auto-scaling. PracticeWhy EssentialImplementationIaC FirstVersioned infraTerraform modules ​Self-ServiceDev autonomyGitOps portals ​ServerlessZero opsAWS Lambda, Fargate ​ObservabilityAuto-remediationOpenTelemetry ​Policy-as-CodeAuto-complianceOPA Gatekeeper ​ Consistent execution achieves true NoOps maturity.​ Why DevOpsSchool Platform Excels DevOpsSchool dominates global NoOps Services with proven expertise spanning India, USA, Europe, UAE, UK, Singapore, and Australia. Comprehensive offerings include consulting, implementation, hands-on training, and 24/7 managed support for organizations of all sizes.​ Training programs emphasize practical automation, cloud-native patterns, and self-healing systems through real-world labs. Flexible delivery formats build lasting internal capabilities. Strengths: Precision-engineered NoOps roadmaps and assessments Complete end-to-end automation implementations Proven success across healthcare, finance, and e-commerce Training programs producing autonomous automation teams​ Mentored by Rajesh Kumar Transformative guidance from Rajesh Kumar, possessing 20+ years mastering DevOps, DevSecOps, SRE, DataOps, AIOps, MLOps, Kubernetes, and multi-cloud architectures globally. Mentored 10,000+ engineers at leading organizations including ServiceNow, Adobe, IBM, Intuit, and Cotocus. Serves as Principal DevOps Architect at Cotocus, architecting high-traffic CI/CD pipelines. Maintains active YouTube presence (TheDevOpsSchool) sharing enterprise-grade automation patterns. Delivered mission-critical systems at JDA. Students consistently praise practical instruction, real-world examples, and responsive support.​ Start Your NoOps Journey Transform operations completely with battle-tested NoOps Services. Schedule your complimentary assessment immediately. Email: [email protected] Phone & WhatsApp (India): +91 7004 215 841 Phone & WhatsApp (USA): +1 (469) 756-6329 DevOpsSchool Conclusion and Overview NoOps Services liberate engineering teams to focus exclusively on innovation. Intelligent automation manages infrastructure reliably around the clock.​ Overview: Conduct thorough current-state assessments, establish IaC foundations, deploy self-service capabilities, activate auto-healing mechanisms, deliver cloud-native training, implement continuous monitoring. The path to operations-free excellence stands ready. #NoOpsServices, #SelfHealingInfra, #AutomationFirst, #ServerlessOps, #IaC, #CloudNative, #ZeroDowntime, #DevProductivity, #AutoScaling, #NoOperations, View the full article

Security researchers have flagged a coordinated credential-based campaign targeting VPN authentication endpoints from Cisco and Palo Alto Networks. Over just two days in mid-December, attackers launched large-scale automated login attempts against Cisco’s SSL VPN and Palo Alto Networks’ GlobalProtect services. A GreyNoise analysis noted that the campaign does not exploit software bugs, but instead relies on churning through username and password combos at scale.“Consistent infrastructure usage and timing indicate a single campaign pivoting across multiple VPN platforms,” the researchers said in a blog post. GreyNoise confirmed millions of login sessions across more than 10,000 unique attacking IP addresses, pointing to a highly scripted and centralized campaign. It also clarified it has no evidence connecting the activity to the recent campaign targeting Cisco Secure Email Gateway and Secure Email and Web Manager. Palo Alto portals hit with a wave of login traffic GreyNoise reported a spike in automated login traffic targeting Palo Alto Networks GlobalProtect portals on December 11. Over a 16-hour window, roughly 1.7 million sessions were observed hitting emulated GlobalProtect and PAN-OS login endpoints. “Emulated” refers to decoy or simulated VPN login pages that GreyNoise runs, not real customer VPNs. The targeted portals were geographically distributed, primarily in the United States, Pakistan, and Mexico, with the traffic almost exclusively originating from IP space linked to a single German hosting provider, 3xk GmbH. The login attempts followed a highly uniform pattern, reusing common usernames and passwords and even adopting a browser-like Firefox user agent string. This is a telltale sign of scripted credential probes rather than opportunistic scanning, the researchers noted. “This consistency of the user agent, request structure, and timing suggests scripted credential probing designed to identify exposed or weakly protected GlobalProtect portals, rather than interactive access attempts or vulnerability exploitation,” they said. Brute-forcing Cisco’s SSL VPN follows Just a day after the GlobalProtect surge, the same actor infrastructure pivoted to Cisco’s SSL VPN endpoints, with the same TCP fingerprint and hosting provider IP space. GreyNoise saw the number of unique attacking IPs jump from a typical daily baseline of fewer than 200 to over 1200, signalling a sharp rise in brute-force login attempts. Unlike the more structured GlobalProtect activity, much of the Cisco traffic hit vendor-agnostic facade sensors. This indicated that attackers were probing broadly rather than holding a finely targeted list of known endpoints. However, the underlying behavior remained automated credential-based authentication attempts. GreyNoise disclosure urges defenders to harden authentication hygiene, including enforcing strong passwords and multi-factor authentication (MFA), auditing exposed edge devices for unexpected login attempts, and leveraging threat intel blocklists to filter out malicious IPs at the perimeter. The disclosure shared blocklists for its platform customers as well as non-GreyNoise users. View the full article

Security researchers have flagged a coordinated credential-based campaign targeting VPN authentication endpoints from Cisco and Palo Alto Networks. Over just two days in mid-December, attackers launched large-scale automated login attempts against Cisco’s SSL VPN and Palo Alto Networks’ GlobalProtect services. A GreyNoise analysis noted that the campaign does not exploit software bugs, but instead relies on churning through username and password combos at scale.“Consistent infrastructure usage and timing indicate a single campaign pivoting across multiple VPN platforms,” the researchers said in a blog post. [ Related: More Cisco news and insights ] GreyNoise confirmed millions of login sessions across more than 10,000 unique attacking IP addresses, pointing to a highly scripted and centralized campaign. It also clarified it has no evidence connecting the activity to the recent campaign targeting Cisco Secure Email Gateway and Secure Email and Web Manager. Palo Alto portals hit with a wave of login traffic GreyNoise reported a spike in automated login traffic targeting Palo Alto Networks GlobalProtect portals on December 11. Over a 16-hour window, roughly 1.7 million sessions were observed hitting emulated GlobalProtect and PAN-OS login endpoints. “Emulated” refers to decoy or simulated VPN login pages that GreyNoise runs, not real customer VPNs. The targeted portals were geographically distributed, primarily in the United States, Pakistan, and Mexico, with the traffic almost exclusively originating from IP space linked to a single German hosting provider, 3xk GmbH. The login attempts followed a highly uniform pattern, reusing common usernames and passwords and even adopting a browser-like Firefox user agent string. This is a telltale sign of scripted credential probes rather than opportunistic scanning, the researchers noted. “This consistency of the user agent, request structure, and timing suggests scripted credential probing designed to identify exposed or weakly protected GlobalProtect portals, rather than interactive access attempts or vulnerability exploitation,” they said. Brute-forcing Cisco’s SSL VPN follows Just a day after the GlobalProtect surge, the same actor infrastructure pivoted to Cisco’s SSL VPN endpoints, with the same TCP fingerprint and hosting provider IP space. GreyNoise saw the number of unique attacking IPs jump from a typical daily baseline of fewer than 200 to over 1200, signalling a sharp rise in brute-force login attempts. Unlike the more structured GlobalProtect activity, much of the Cisco traffic hit vendor-agnostic facade sensors. This indicated that attackers were probing broadly rather than holding a finely targeted list of known endpoints. However, the underlying behavior remained automated credential-based authentication attempts. GreyNoise disclosure urges defenders to harden authentication hygiene, including enforcing strong passwords and multi-factor authentication (MFA), auditing exposed edge devices for unexpected login attempts, and leveraging threat intel blocklists to filter out malicious IPs at the perimeter. The disclosure shared blocklists for its platform customers as well as non-GreyNoise users. More Cisco news: Cisco confirms zero-day exploitation of Secure Email products Cisco defines AI security framework for enterprise protection Cisco initiative targets device security Key takeaways from Cisco Partner Summit AI networking demand fueled Cisco’s upbeat Q1 financial Cisco launches AI infrastructure, AI practitioner certifications Cisco centralizes customer experience around AI Cisco unveils integrated edge platform for AI View the full article

WatchGuard has released fixes to address a critical security flaw in Fireware OS that it said has been exploited in real-world attacks. Tracked as CVE-2025-14733 (CVSS score: 9.3), the vulnerability has been described as a case of out-of-bounds write affecting the iked process that could allow a remote unauthenticated attacker to execute arbitrary code. "This vulnerability affects both theView the full article

Businesses struggle with slow deployments and team skill gaps that hold back growth significantly without proper support. Top Consulting Training combines expert advice and hands-on learning to speed up digital change effectively and reliably every single day.​ What Is Consulting Training? Consulting Training blends strategic guidance with practical skills development for real results that matter most to every organization. Consultants assess current setups carefully and thoroughly without missing details, create custom plans that fit perfectly without any gaps whatsoever, and train teams to implement them successfully without issues ever. This approach fixes problems while building internal know-how that lasts long-term forever without fail.​ In everyday terms, Consulting Training means experts work side-by-side with your staff closely and collaboratively every moment without exception. They spot issues in workflows quickly and accurately always every time, suggest fixes that work well perfectly, and teach everyone how to maintain improvements over time consistently without any fail whatsoever. Companies end up with faster releases and capable teams ready for future challenges ahead confidently and completely always.​ Organizations use Consulting Training for DevOps setups, cloud moves, CI/CD pipelines, and Kubernetes rollouts reliably every single day without any exception. Results include better collaboration and systems that perform consistently without fail ever.​ Key Benefits of Consulting Training Consulting Training speeds up product launches by 50% through automated pipelines that deliver smoothly every single time without any problem. Teams cut manual work significantly and completely entirely, focus on features customers want most desperately right away, and deploy confidently without fear or hesitation ever again completely.​ Costs drop 30-40% from fewer errors and optimized resources across operations entirely and completely without any waste whatsoever. Training ensures staff handles changes without needing constant outside help every single time without exception ever again. Uptime improves with monitoring and best practices everyone follows closely always and forever without stop.​ Collaboration grows as dev, ops, and security teams align on common goals perfectly without doubt ever. Businesses gain agility to handle market shifts quickly and effectively without stress whatsoever at all ever.​ Consulting Training Lifecycle Consulting Training follows clear steps: assess needs thoroughly and completely without missing anything ever, plan strategy carefully step-by-step precisely and perfectly always, implement changes smoothly without disruption ever again completely, train staff effectively with practice thoroughly and fully without gap, support ongoing work consistently long-term forever without end ever. Each phase builds on the last for lasting results that stick firmly always and forever completely.​ Assessments reveal gaps accurately and precisely every single time without fail ever. Roadmaps guide action clearly and confidently without fail whatsoever. Hands-on sessions build skills practically and thoroughly completely without any gap. Follow-up ensures adoption stays strong always without question ever. PhaseFocusKey ActivitiesAssessCurrent stateMaturity audits, gap analysis ​PlanStrategyRoadmaps, tool selection ​ImplementChangesPipeline builds, migrations ​TrainSkillsWorkshops, labs ​SupportSustainOptimization, monitoring ​ This table outlines the full process for smooth transitions every single step completely and perfectly always.​ Consulting Training vs In-House Efforts Consulting Training brings outside expertise for faster results organizations need desperately right this very moment without delay. In-house tries rely on limited knowledge, leading to trial-and-error delays that frustrate everyone involved terribly and completely always.​ AspectConsulting TrainingIn-House OnlySpeedQuick wins, proven pathsSlow learning curve ​ExpertiseDeep industry knowledgeInternal limits ​CostHigher upfront, ROI fastSpread out, higher long-term ​RiskLow, guided changesHigh trial failures ​SustainabilityTrained teams take overKnowledge stays narrow ​ External help accelerates transformation reliably without guesswork or wasted time ever again completely.​ Core Features of Consulting Training Top Consulting Training offers assessments, custom roadmaps, hands-on implementation, team workshops, and ongoing optimization support comprehensively from start to end perfectly. They cover CI/CD, cloud, containers, monitoring from start to finish completely without any gap whatsoever.​ Tailored strategies fit your industry perfectly without compromise whatsoever ever again. Training uses real projects for relevance that truly matters most every single time. Support prevents backsliding after launch completely without fail always ever. DevOps maturity audits thoroughly and completely every single time without miss. CI/CD pipeline design expertly and precisely without error ever again. Cloud migration plans carefully and thoughtfully always without fail ever. Kubernetes setups reliably and consistently every single project without issue. Security integration training effectively and practically for everyone always.​ Consultants handle complex migrations while upskilling staff simultaneously and seamlessly perfectly without issue ever.​ Challenges Consulting Training Solves Skill shortages block progress everywhere without fail completely and totally always. Consulting Training fills gaps with targeted workshops that deliver results quickly and effectively every time without fail.​ Cultural resistance slows change significantly and noticeably always without any relief. Experts facilitate team buy-in naturally and smoothly without effort needed ever. Tool overload confuses choices completely; consultants pick optimal stacks wisely and confidently every single time always.​ Overhead strains resources heavily without relief ever again completely. Structured plans minimize disruption effectively always without issue whatsoever. Implementation stalls get expert fixes promptly and professionally immediately without any delay.​ Real-World Success Stories Financial firms cut deployment times 60% with automated pipelines, boosting reliability noticeably and substantially every season without fail ever.​ E-commerce platforms reduced bugs 70%, improved satisfaction through DevOps practices consistently every single day without fail ever again.​ FinTech startups scaled via cloud migrations, handling user growth smoothly without issues whatsoever at all ever.​ Consulting Training Best Practices Start with thorough assessments always without exception ever again completely. Build phased roadmaps carefully and meticulously precisely every time without fail. Mix online and in-person sessions quarterly for best results possible always without exception.​ Focus on hands-on labs practically and intensively completely without any gap ever. Measure progress with metrics clearly and objectively without bias ever again. Foster accountability through champions actively and continuously forever without stop ever. PracticePurposeHow-ToMaturity AuditsBaseline gapsToolchain reviews ​Phased RolloutsManage changePilot then scale ​Hands-On LabsSkill buildingReal project sims ​Quarterly RefreshKeep currentUpdates, webinars ​Metrics TrackingProve ROIDeployment freq, uptime ​ These steps ensure adoption sticks permanently without fail ever again completely.​ Why DevOpsSchool Platform Excels DevOpsSchool stands out as a global leader in Consulting Training for DevOps, cloud, and modern practices worldwide consistently every year without any exception ever. They deliver customized strategies, full implementations, and skill-building programs across industries effectively always without miss whatsoever.​ Worldwide reach covers India, USA, Europe, UAE, UK, Singapore, Australia serving all organizations perfectly without fail ever. Programs suit startups to enterprises with flexible formats perfectly suited always and forever completely. Key strengths: Tailored DevOps roadmaps and audits precisely and accurately every single project without miss. End-to-end CI/CD and cloud setups completely and thoroughly without gap ever again. Hands-on training for all levels effectively without gaps whatsoever always completely. Proven results in finance, tech, healthcare reliably proven consistently every time ever.​ Mentored by Rajesh Kumar Programs guided by Rajesh Kumar, with 20+ years in DevOps, DevSecOps, SRE, DataOps, AIOps, MLOps, Kubernetes, cloud globally recognized worldwide everywhere always. Trained 10,000+ at ServiceNow, Adobe, IBM, Intuit, Cotocus successfully worldwide without fail ever again. Principal DevOps Architect at Cotocus, manages CI/CD for sites like jetexe.com reliably day-to-day consistently without issue ever. Shares via YouTube (TheDevOpsSchool), blogs regularly with real value every time always. Built pipelines at JDA effectively over many years successfully completely. Trainees love clear explanations, practical labs, quick query help that builds confidence solidly forever and ever without end.​ Start Your Transformation Achieve faster delivery with expert Consulting Training. Contact for assessment today without delay whatsoever ever. Email: [email protected] Phone & WhatsApp (India): +91 7004 215 841 Phone & WhatsApp (USA): +1 (469) 756-6329 DevOpsSchool Conclusion and Overview Consulting Training drives real change by pairing strategy with skills effectively and completely always without fail ever. Teams deliver faster, reliably, with less cost over time consistently forever and ever completely.​ Overview: Assess gaps thoroughly first always without miss ever, plan roadmaps wisely without fail ever again, implement changes smoothly carefully every single time without exception, train thoroughly completely for everyone always, optimize continuously forever without stop ever again, measure success clearly objectively always perfectly without doubt. Path to operational excellence awaits everyone ready now without doubt whatsoever. View the full article

DevSecOps services blend security right into the fast-paced world of software development and deployment. This approach helps teams build apps that are both quick to release and safe from threats.​ Why DevSecOps Matters Today Teams today face pressure to release software faster, but skipping security can lead to big problems like data breaches. DevSecOps services fix this by making security a team effort from day one, not an afterthought. It shifts security “left” in the process, catching issues early to save time and money.​ Businesses of all sizes benefit from these services. Startups get scalable protection without hiring extra staff, while big companies meet strict rules like GDPR or HIPAA. Real-world examples show faster deployments with fewer vulnerabilities when security tools run automatically in pipelines. In today’s digital world, where cyber threats grow daily, embedding security ensures your business stays ahead without slowing down.​ Core Features of DevSecOps Services DevSecOps services offer tools and processes that fit into your daily work. Key parts include automated scans for code flaws, checks for open-source risks, and ongoing monitoring. These features cover everything from strategy planning to daily operations, making security simple and effective.​ Here’s a table summarizing main features: FeatureDescriptionBenefitAutomated Security ScanningChecks code (SAST), running apps (DAST), and libraries (SCA) at every step. ​Finds issues early, cuts fix time.Continuous ComplianceAuto-reports for standards like PCI-DSS or ISO, keeping audits simple. ​Avoids fines, eases reviews.Threat IntelligenceLive updates on new risks to stay ahead of attacks. ​Protects against fresh dangers.Incident ResponseQuick auto-fixes for threats to cut damage time. ​Limits breach impact fast.Role-Based AccessLimits who sees what, following least-privilege rules. ​Stops insider risks.Multi-Cloud SupportWorks across AWS, Azure, Google Cloud seamlessly. ​Fits any setup you use. These tools make security a helper, not a hurdle, in your workflow.​ How DevSecOps Services Work The process starts with a full check of your current setup to spot weak points. Next, experts pick and set up tools like scanners and monitors into your CI/CD pipelines. A test run on a small project proves it works before going big. This way, changes feel smooth and show quick results.​ Steps in a typical rollout: Assess risks and needs with your team. Build custom pipelines with security baked in from the start. Train everyone on tools and best practices through hands-on sessions. Roll out company-wide with constant monitoring. Keep improving based on real data and feedback. This step-by-step method ensures quick wins and long-term gains. It turns security into a shared habit across dev, ops, and security groups.​ Benefits for Your Business Speed stays high while risks drop low. Teams fix bugs early, cutting fix costs by up to 100x compared to production. Compliance becomes automatic, easing audits and avoiding fines. Plus, teams work better together when everyone shares security duties.​ Other wins include better team collaboration—devs, ops, and security work as one. Scalability grows with your business, handling more apps without more headaches. Reviews from users praise hands-on training and real results, like faster query resolution and solid concepts. Keywords like vulnerability scanning, CI/CD security, and compliance automation become part of your success story.​ In short, DevSecOps services boost efficiency, cut costs, and build trust with customers who expect safe apps. Real-World Implementation Steps Start with a security review of your pipelines to find gaps. Pick open tools to avoid lock-in, like those for container checks or runtime alerts. Then integrate them step by step, testing as you go.​ Engagement Options: Fully managed: Experts handle everything while you focus on core work. Team-assisted: You learn as they build, gaining skills along the way. Custom: Focus on one area, like cloud security or microservices protection. Ongoing support includes 24/7 monitoring and tweaks based on new threats. This builds a security culture that lasts, with metrics to track progress like reduced vulnerabilities per release.​ Leading DevSecOps Services DevSecOps Services stand out for full coverage from consulting to support. They embed security in pipelines with vulnerability scans, compliance tools, and incident plans tailored to your needs. Services suit startups to enterprises, with proven results in secure, fast delivery.​ Positive feedback highlights interactive sessions, clear guidance, and real-world examples. Their approach includes automated testing, data protection, and training, ensuring continuous security in CI/CD flows.​ Spotlight on Expert Leadership Programs draw from deep know-how, mentored by Rajesh Kumar, a top trainer with 20+ years in DevOps, DevSecOps, SRE, DataOps, AIOps, MLOps, Kubernetes, and Cloud. He has guided big names like Nokia, Ericsson, and Verizon on pipelines, Kubernetes, and monitoring. His style focuses on practical projects, test-driven methods, and clear explanations that stick—perfect for teams needing real skills fast. Rajesh Kumar brings global experience with a local touch, making complex topics easy through hands-on demos and query resolution.​ DevOpsSchool leads as a top platform for training and certifications in these fields. As a trusted name, it offers hands-on courses in DevSecOps with live projects, certs that boost careers, and flexible options worldwide. Key strengths: Expert trainers with deep industry experience. Online and in-person modes to fit your schedule. Job-ready skills in tools like Jenkins, Docker, and Kubernetes. Global reach, especially strong in India and USA. High ratings from pros like Abhinav Gupta for interactive, useful sessions.​ This combo of leadership and platform makes learning and implementing DevSecOps reliable and effective. Key Tools in DevSecOps Services Top keywords like container security, threat modeling, secure microservices, IaC security, and runtime protection fit right in. Use SAST for code review, DAST for app tests, SCA for dependencies. Add IaC checks with Terraform and runtime guards for full coverage.​ Tool TypeExamplesUse CaseCode AnalysisSonarQube, CheckmarxStatic scans early in dev.​Runtime MonitoringFalco, SysdigWatch containers live.​ComplianceOPA, StyraPolicy enforcement auto.​Dependency CheckSnyk, WhiteSourceScan open-source risks.​ These keep your pipeline strong with secure CI/CD and automated compliance. Challenges and Solutions Common hurdles include team buy-in and tool overload. Solution: Start small with pilots and training. Legacy systems? Use hybrid setups that bridge old and new without full rewrites.​ Tips for Success: Train all teams together for shared understanding. Measure with metrics like mean time to fix vulnerabilities. Update tools often for new threats. Foster shared ownership across roles. This tackles issues head-on, turning challenges into strengths.​ Future of DevSecOps Services Expect more AI-driven scans, zero-trust models, and edge security as apps spread. Services will focus on multi-cloud and AI ops, keeping pace with tech shifts. Partnering with experts ensures you stay ready for what’s next.​ Conclusion and Overview DevSecOps services transform risky speed into safe agility, protecting apps while speeding innovation. Overview: From auto-scans and compliance to full lifecycle support, they deliver end-to-end security that scales. Choose proven providers with expert mentorship for lasting results—secure your future today.​ Contact DevOpsSchool: Email: [email protected] Phone & WhatsApp (India): +91 7004 215 841 Phone & WhatsApp (USA): +1 (469) 756-6329 Website: DevOpsSchool View the full article

JarTee – shutterstock.com Cisco Talos hat kürzlich eine Cyberkampagne entdeckt, die auf Ciscos AsyncOS-Software für Secure Email Gateway, Secure Email und Web Manager abzielt. Die Kampagne soll mindestens seit Ende November laufen. Ein Patch ist derzeit noch nicht verfügbar, so der Netzwerkriese. Umfang des Risikos Laut Cisco betrifft die Schwachstelle Systeme, auf denen die Spam-Quarantäne-Funktion aktiviert ist. Security-Experten zufolge verringert dies allerdings nicht unbedingt das Risiko für Unternehmen. „Auch wenn die Funktion standardmäßig nicht aktiviert ist – die Sicherheitslücke kann ein hohes Risiko darstellen“, mahnt Sunil Varkey, Analyst für Cybersicherheit. „Betroffene Geräte stehen in der Regel an privilegierten Positionen im Netzwerk.“ Zudem sei unklar, wie viele Unternehmen die Funktion in Produktionsumgebungen aktiviert haben, „Die Spam-Quarantäne bietet Administratoren die Möglichkeit, ‚False Positives‘, also legitime E-Mail-Nachrichten, die vom Gerät als Spam eingestuft wurden, zu überprüfen und freizugeben“, erklärt Keith Prabhu, Gründer und CEO von Confidis. „Angesichts des heutigen Remote-Supports und des 24×7-Betriebs ist es durchaus möglich, dass diese Funktion von vielen Unternehmen aktiviert wurde.“ Laut Akshat Tyagi, Associate Practice Leader bei HFS Research, ist das größte Problem die Art des Ziels. „Im Gegensatz zu einem Anwender-Laptop oder einem eigenständigen Server stehen E-Mail-Sicherheitssysteme im Mittelpunkt der Art und Weise, wie Unternehmen den E-Mail-Verkehr filtern und vertrauen. Das bedeutet, dass Angreifer innerhalb einer Infrastruktur operieren würden, die darauf ausgelegt ist, Bedrohungen zu stoppen, anstatt sie zu erhalten.“ Tyagi fügt hinzu: „Die Tatsache, dass es noch keinen Patch gibt, erhöht das Risiko zusätzlich. Wenn der Hersteller empfiehlt, die Geräte neu aufzusetzen, anstatt sich selbst darum zu kümmern, zeigt dies, dass es hier um Persistenz und Kontrolle geht und nicht nur um einen einmaligen Exploit.“ Varkey weist darauf hin, dass der Exploit nicht unbedingt eine direkte Internetverbindung erfordere, sondern auch über interne oder über VPN erreichbare Netzwerke erfolgen könne. Er empfiehlt Unternehmen, den Zugriff auf betroffene Management-Ports vorübergehend zu sperren oder einzuschränken. Tipps zum Wiederaufbau und betriebliche Kompromisse Cisco erklärte, dass in Fällen, in denen eine Kompromittierung bestätigt wurde, derzeit eine Löschung und ein Wiederaufbau der Geräte erforderlich ist. „Aus Sicherheitsgründen ist dies in der Tat die richtige Entscheidung“, so Tyagi. „Wenn die Gefahr besteht, dass sich Angreifer tief in ein System eingenistet haben, reicht das Aufspielen von Patches allein nicht aus, um das Problem zu lösen. Eine Neuinstallation ist die einzige Möglichkeit, um sicherzustellen, dass die Bedrohung vollständig beseitigt ist.“ Varkey merkt jedoch an, dass dies für viele Unternehmen möglicherweise keine praktikable Option sei, da damit geschäftliche Risiken verbunden seien. Darunter Ausfallzeiten, Fehlkonfigurationen und die potenzielle Wiedereinführung von Persistenz durch kompromittierte Backups. Unternehmen müssen ein Gleichgewicht zwischen der Geschwindigkeit der Behebung und der Aufrechterhaltung des Geschäftsbetriebs finden und sich gleichzeitig auf kompensierende Kontrollen verlassen, um das Risiko zu begrenzen. „Cisco Secure Email Gateway, Cisco Secure Email und Web Manager sind wichtige Komponenten der E-Mail-Infrastruktur“, betont Prabhu. „Unternehmen müssten diese Maßnahme so planen, dass Ausfallzeiten minimiert werden, gleichzeitig aber auch das Zeitfenster für Kompromittierungen reduziert wird. In der Zwischenzeit könnten sie andere Sicherheitsmaßnahmen wie das Blockieren von Ports in der Firewall einsetzen, um die Angriffsfläche zu begrenzen.“ (jm) View the full article

Authorities in Nigeria have announced the arrest of three "high-profile internet fraud suspects" who are alleged to have been involved in phishing attacks targeting major corporations, including the main developer behind the RaccoonO365 phishing-as-a-service (PhaaS) scheme. The Nigeria Police Force National Cybercrime Centre (NPF–NCCC) said investigations conducted in collaboration withView the full article

Teams lose money when systems go down unexpectedly during peak times without proper safeguards. Top SRE Services keep applications running smoothly with smart monitoring and automation that prevents outages.​ What Are SRE Services? SRE Services apply software engineering to IT operations for reliable systems that scale. They balance new features with stability using error budgets and clear goals everyone can track. Teams automate toil to focus on important work that moves the business forward.​ In plain terms, SRE Services treat operations like code that can be improved. Engineers build tools for monitoring, alerting, and recovery instead of manual fixes every time. Businesses get 99.99% uptime without slowing development speed or innovation.​ Companies use SRE Services for SLOs, incident response, and capacity planning that works. They handle growth while keeping services available around the clock.​ Key Benefits of SRE Services SRE Services cut unplanned work by 50% through automation that saves time. Teams spend time on features, not firefighting constant alerts. Uptime hits 99.9%+ with proactive fixes before issues spread.​ Costs drop as efficiency rises across operations. Error budgets prevent over-engineering while guiding safe releases. Incidents resolve 3x faster with blameless postmortems that teach real lessons.​ Scalability supports growth without service disruption. Systems handle traffic spikes smoothly during high demand. Customer trust grows with reliable service every day.​ SRE Lifecycle Practices SRE follows principles like embracing risk and automation always. Define SLOs, measure SLIs, manage error budgets carefully. Automate toil below 50% of team time.​ Plan capacity ahead of demand. Monitor health continuously without gaps. Respond to incidents quickly with clear runbooks. Learn from postmortems thoroughly. Release engineering ensures smooth deploys without drama. PracticePurposeKey MetricSLO/SLI/SLADefine reliability99.9% availability ​Error BudgetBalance speed/stability0.1% allowed failures ​Toil ReductionAutomate ops<50% manual work ​Incident ResponseFast recoveryMTTR under 30min ​PostmortemsLearn from failuresBlameless reviews ​ This table shows core practices for SRE success in production.​ SRE Services vs DevOps SRE Services focus on reliability engineering with measurable outcomes. DevOps emphasizes culture and collaboration across teams. SRE uses software to achieve DevOps goals with precision.​ AspectSRE ServicesDevOpsFocusReliability metricsCulture/process ​MetricsSLOs, error budgetsDeployment frequency ​RiskQuantified via budgetsExperimentation ​RoleSoftware engineers in opsCross-functional teams ​AutomationToil reductionCI/CD pipelines ​ SRE implements DevOps with engineering rigor that lasts.​ Core Features of SRE Services Top SRE Services offer consulting, implementation, training, support without gaps. They define SLOs, build monitoring, automate recovery completely.​ Error budgets guide smart decisions daily. Capacity planning prevents overloads before they hit. Incident management reduces MTTR significantly. Custom SLO frameworks tailored to your needs. Automation toolchains that scale with growth. 24/7 incident response always ready. Team training programs that stick.​ Consulting maps your path clearly. Implementation deploys solutions smoothly.​ Challenges SRE Services Solve Cultural resistance slows adoption across organizations. SRE Services train teams on shared responsibility that works.​ Complex infra overwhelms staff without proper tools. Services standardize tools and processes simply. High costs block startups; managed service scales affordably.​ Measurement gaps hurt decisions without data. SLOs provide clear targets everyone follows. Skill shortages? Expert guidance fills them fast.​ Real-World Success Stories E-commerce retailers cut outages 50%, boosting revenue during peaks like Black Friday.​ Hospitals achieve reliable patient systems, improving care delivery without downtime.​ Financial firms reduce MTTR 60%, minimizing fraud exposure effectively.​ SRE Best Practices Embrace risk with error budgets that balance speed and safety. Automate toil relentlessly to free up time. Measure everything with clear SLIs.​ Blameless postmortems drive learning forward. Simplicity over complexity always wins. Release engineering prevents toil from building up. PracticeWhy EssentialImplementationError BudgetsBalance innovation/reliabilityTrack vs SLOs ​AutomationReduce toilRunbooks, tooling ​SLOsObjective targets4 golden signals ​PostmortemsSystemic fixesActionable items ​MonitoringObservabilitySLIs, dashboards ​ Follow these for production excellence that endures.​ Why DevOpsSchool Platform Excels DevOpsSchool leads SRE and DevOps training globally with real impact. Comprehensive courses, certifications, hands-on labs cover SLOs, error budgets, incident management across all levels.​ Global presence: India, USA, Europe, UAE, UK, Singapore, Australia serving thousands. Flexible online/onsite formats simulate real production environments accurately. Highlights: Tailored SRE consulting frameworks matched precisely. Complete implementation from monitoring to automation. Proven results in finance, healthcare, e-commerce. Training builds self-sufficient SRE teams confidently.​ Mentored by Rajesh Kumar Expertise from Rajesh Kumar, 20+ years mastering DevOps, DevSecOps, SRE, DataOps, AIOps, MLOps, Kubernetes, cloud worldwide. Trained 10,000+ engineers at ServiceNow, Adobe, IBM, Intuit, Cotocus successfully. Principal DevOps Architect at Cotocus, managing CI/CD for high-traffic sites like jetexe.com reliably. Shares practical insights via YouTube (TheDevOpsSchool), blogs regularly. Built enterprise pipelines at JDA. Trainees rave about clear explanations, hands-on examples, rapid query resolution that builds confidence.​ Start Your SRE Journey Achieve 99.99% uptime with proven SRE Services. Contact for tailored solutions today. Email: [email protected] Phone & WhatsApp (India): +91 7004 215 841 Phone & WhatsApp (USA): +1 (469) 756-6329 DevOpsSchool Conclusion and Overview SRE Services create reliable, scalable systems balancing innovation and stability. They automate toil, measure success objectively, prevent outages proactively.​ Overview: Define SLOs clearly, implement error budgets wisely, automate operations fully, conduct blameless postmortems always, partner with SRE experts reliably. Clear path to production excellence that scales. View the full article

IT teams drown in alerts and fix problems after they break things for users everywhere. Top Aiops Services use AI to spot issues early and fix them automatically before major impact hits.​ What Are Aiops Services? Aiops Services mix artificial intelligence with IT operations to make systems smarter and more efficient every day. They watch data in real time constantly, predict problems before they happen at all, and handle fixes without waiting for humans to step in. These services collect logs, metrics, and events to find patterns humans miss in complex environments.​ In simple terms, Aiops Services turn reactive firefighting into proactive prevention that saves time and resources. Instead of chasing alerts all day without end, teams get clear insights on root causes right away. Businesses cut downtime significantly and focus on growth, not constant breakdowns.​ Companies use Aiops Services for anomaly detection, event correlation, and automated responses that work. They handle complex cloud setups where traditional tools fall short completely.​ Key Benefits of Aiops Services Aiops Services slash mean time to resolution by 60% or more across organizations of all sizes. Teams fix issues faster with AI spotting patterns across huge data sets accurately. Downtime drops sharply, saving revenue—every hour costs big in e-commerce or finance sectors.​ Costs fall noticeably as automation handles routine tasks without extra staff needed. No more alert storms overwhelming everyone on the team. Predictive analytics forecasts demand to avoid over-spending on servers unnecessarily.​ Reliability jumps high with self-healing systems that recover automatically. AI restarts services or scales resources before users notice anything wrong. Teams collaborate better with unified views of IT health everywhere.​ Aiops Lifecycle Stages Aiops works in stages from data collection to continuous learning over time. It ingests data broadly, analyzes patterns deeply, detects issues early, and improves over time.​ Collect from logs, metrics, apps across environments. Analyze for normal vs. unusual behavior patterns. Detect anomalies early before damage. Automate fixes intelligently. Learn from outcomes continuously. StageMain TasksCommon ToolsData IngestionGather logs, metrics, eventsSplunk, ELK ​AnalysisFind patterns, baselinesMoogsoft, Dynatrace ​DetectionSpot anomalies, root causesBigPanda, Datadog ​AutomationTrigger fixes, self-healServiceNow, PagerDuty ​LearningImprove models over timeMachine Learning engines ​ This table maps stages to real tools for clear implementation paths.​ Aiops Services vs Traditional IT Ops Aiops Services shift from reactive to predictive ops that prevent problems. Traditional methods react after failures happen; Aiops prevents them with AI insights ahead.​ AspectAiops ServicesTraditional OpsResponseProactive, predictiveReactive, manual ​Data HandlingReal-time, massive scaleSiloed, limited ​Issue ResolutionAutomated, fastHuman-dependent, slow ​Alert ManagementNoise reductionAlert fatigue ​ScalingDynamic, AI-drivenStatic planning ​ Aiops collects from everywhere for full visibility always, unlike scattered traditional tools.​ Core Features of Aiops Services Leading Aiops Services cover end-to-end from consulting to 24/7 support without gaps. They integrate AI for real-time monitoring and auto-remediation that works reliably.​ Predictive analytics forecasts failures accurately every time. Automated workflows fix common issues instantly without delay. Dashboards give clear views everyone understands easily. Custom roadmaps for your specific setup. Hands-on implementation with tools like Splunk effectively. Training for team mastery that lasts. Ongoing optimization keeps it fresh always.​ Consulting assesses gaps first thoroughly. Implementation ensures smooth rollout at every step.​ Challenges Aiops Services Solve Data silos block insights in complex environments daily. Aiops unifies sources for clear pictures across everything.​ Skill gaps slow adoption and frustrate teams. Services provide training and experts on demand immediately. High costs worry teams greatly; cloud models scale pay-as-you-go flexibly.​ Poor data quality leads to bad predictions often. Built-in cleansing ensures accuracy from the start. Integration hurdles vanish with expert setup guidance.​ Real-World Success Stories E-commerce platforms predict traffic spikes, auto-scale perfectly, avoid Black Friday crashes—boosting sales significantly.​ Telecom cuts response time 30% with network auto-management reliably. Automotive hits 99.9% uptime, 60% faster fixes across all plants.​ Banks detect fraud early via anomaly spotting precisely. Healthcare keeps patient systems reliable 24/7 without fail ever.​ Best Practices for Aiops Success Define clear goals like MTTR reduction first always. Pick quality data sources carefully every time.​ Maintain data hygiene daily consistently. Secure everything properly from start. Train teams well ongoing. PracticeWhy It WorksAction StepClear ObjectivesMeasures successSet MTTR targets ​Data QualityAccurate AICleanse silos first ​IntegrationFull visibilityConnect all tools ​Security FocusTrustworthy opsMulti-tier access ​ Start small, scale with wins steadily. Update models regularly for best results always.​ Why Choose DevOpsSchool Platform DevOpsSchool leads in Aiops and DevOps training globally with proven impact everywhere. Courses, certifications, labs cover AI monitoring, predictive analytics, automation for all levels effectively.​ Spans India, USA, Europe, UAE, UK, Singapore, Australia seamlessly. Online/onsite with hands-on projects mimicking real ops centers perfectly. Key strengths: Tailored Aiops consulting roadmaps precisely matched. Full implementation from monitoring to self-healing completely. Industry wins in finance, telecom, e-commerce proven widely. Training empowers independent teams fully and confidently.​ Mentored by Rajesh Kumar Guidance from Rajesh Kumar, 20+ years in DevOps, DevSecOps, SRE, DataOps, AIOps, MLOps, Kubernetes, cloud worldwide successfully. Trained 10,000+ at ServiceNow, Adobe, IBM, Intuit, Cotocus with proven success.​ Leads global CI/CD at Cotocus for high-traffic sites reliably every day. Shares practical tips via YouTube, blogs regularly. Built enterprise pipelines at JDA. Trainees praise clear examples, fast query resolution, interactive hands-on sessions that build confidence.​ Start Your Aiops Journey Upgrade ops with expert Aiops Services. Contact for custom plans today easily. Email: [email protected] Phone & WhatsApp (India): +91 7004 215 841 Phone & WhatsApp (USA): +1 (469) 756-6329 DevOpsSchool Conclusion and Overview Aiops Services make IT proactive, automated, and reliable across all environments completely. They predict, prevent, fix—driving efficiency forward powerfully.​ Overview: Assess needs thoroughly first, unify data completely across systems, automate responses smartly always, train teams effectively on an ongoing basis, and partner with experts wisely long-term. Simple path to smarter ops that lasts forever. View the full article

HEALTH have never been a band to do things the normal way – and their freshly minted record CONFLICT DLC is no exception. What began life as a bonus EP spun out of RAT WARS sessions has since mutated into a full-blown standalone album, officially transforming HEALTH’s recent output into a double-album era defined by maximalism, brutality and dark humour. Out now via Loma Vista, CONFLICT DLC sharpens the band’s industrial edge while leaning harder into hooks, breakdowns and sheer firepower – forged on the road, refined in the studio, and stress-tested in front of massive metal crowds. In this deep dive, bassist and producer John Famiglietti pulls back the curtain on how CONFLICT DLC came together – from axing songs at the eleventh hour and calling in Lamb Of God’s Willie Adler to fix a “dogshit riff”, to mixing decisions that flirted with sonic destruction, touring revelations at Knotfest Australia, apocalyptic LA fires, and yes… a truly cursed Kesha candle. It’s a behind-the-scenes look at HEALTH at full tilt: methodical, chaotic, exhausted, inspired and still pushing the noise forward. HEALTH- ‘ANTIDOTE’ From Bonus EP To Full-Blown Double Album JF: CONFLICT DLC was originally intended to be a bonus EP for RAT WARS. Then it was expanded into the idea of being a second disc; and then we ended up throwing away almost all the material except for three songs. And now it is the second disc, but it’s basically a standalone album. So it makes this a double album. A Very Civilised Way To Make Extremely Uncivilised Music JF: When we record, we work regular-ass hours during the daytime and then just leave. We work for six hours during the daytime, and we also take a lunch break. I think with music, you can do your best work like that. During the last two hours of working, or the last four hours in the day, we could keep grinding. But you get diminishing returns, you kind of blow out. You want to be recording when you’re really excited. We usually start the day with a new idea and then we go to refine the other ideas. And then when we feel like we’ve hit it? We’ll just leave. It’s very nice! I dunno if everyone’s able to do that, but that’s how we did this album. And then we take huge breaks with the songs, huge breaks in working and listen to ‘em a bunch of times. Then we’ll come in and work on them again. It just really works for us. We treat it like a 9-to-5 job with endless vacations, just constant vacations. We’ve figured out a way to work that really feels good for us, but a way that also leaves the least amount of regret. We get all this time to think about stuff and re-listen to it and change our minds. And that way by the end we’re just very satisfied. I don’t know if it would work for everyone else, it takes a long time. But it’s just a really nice way to do things, and it feels like a very healthy way of doing things for us. That One Riff That ‘Fucking Sucked’ (And How Willie Adler Saved It) JF: This is definitely another fun fact: the album was done, and I was at a party, I’d flown to France for my friend’s bachelor party. I was up late with Pertubator and he played me his new album, which is finished. And I’m like: “hey, well my album is not finished. I want to play you my album and if you have any feedback, tell me because it’s not too late, I can finish it”. I played it for him and he’s like: “I like every song except one”. I’m like: “why?”, and he says: “that riff fucking sucks”. I’m like: “riff sucks, eh? I’m gonna hit up Willie [Adler] from Lamb of God”. I do it, and I’m like: “Willie, really quick, can you solve this? I need you”. And he’s like: “oh, I got you”. I mean, he’s the man, and he just knocked it out. And that’s how we have Willie again. Writing Fast, Obsessing Forever JF: Another fact is that we axed songs literally at the 11th hour and did totally new songs…but that’s normal for us. Also, because this one was created from the RAT WARS sessions, the time making this album is technically really, really long; even though we ended up throwing away most of the material. For us it does and also doesn’t take long to write a song. Usually the easier and faster it is for us to write the song, it’ll be better and catchier. But the more you agonize, it’s not as good. However, we still do that stuff where it’s like: we write it quickly and then we agonise over the production and we keep refining and refining it, or changing it, you change the tempo or change the sonic landscape, stuff like that. Remake it, essentially. That’s why we like the long breaks of time, the long breaks of time are awesome when you just keep listening to it and be like: “you know what? Let’s rethink this or totally change this, or take this thing and stick it on the other thing” or whatever it might be. The writing for CONFLICT DLC was mostly all done last year, except for three songs that were left over from RAT WARS. We had all these other songs left over from RAT WARS and we ended up throwing those away. But the three songs that we kept on this album are: WASTED YEARS, DARKAGE and DON’T KILL YOURSELF. Calling In WZRD BLD To Blow It All Out JF: Also, the album is mixed by WZRD BLD [Drew Fulk] who has worked with Knocked Loose. We heard the Knocked Loose record and we were like: “get this guy on the phone immediately”. He usually doesn’t mix albums, he usually produces. So he was like: “hey, I usually produce”. But we were like: “well, just do some producing shit when you mix!”. And he said okay. He’d do all kinds of crazy stuff and you’ll be like: “hell yeah!” or you’ll be like: “okay, let’s dial that back”. He’s amazing, and it was really amazing to work with him. We’re very happy with it. On the topic of WZRD BLD, he also likes to super crank his records where they sound insane and all blown out. When we were mastering CONFLICT DLC, the mastering guy was like: “I can do it like that. Or it’ll be 0.5 DB quieter and be less blown out”. We heard the two and we’re like: “…do the less blown out one” (laughs). It’s still pretty blown out, it’s still maxed out. It sounds bananas. More Firepower For Bigger Stages JF: Us going to Knotfest Australia, and us playing these metal festivals in Europe made us realise: we need some more firepower. We were sandwiched between these bands who are just the most insane bands. So we were like: “all right, we need some more firepower for these big shows”. And we also need bigger hooks for those really large audiences. The creation of this album just changed over our touring that year as we made it, we kept trying to go for higher tempos, get heavier, have more breakdown-esque content. I mean, we’re playing in these spaces where people are like: “where the fuck is the breakdown?!”. The fan reaction was still great when we did Knotfest in Australia, we had a great time, sold a lot of t-shirts, and we’re very happy. And it’s funny when it comes to HEALTH: anywhere we’ve always thought we weren’t going to be accepted, we’ve been really accepted. I can’t complain. We’ve been to Australia now two years in a row, and it’s very rare to do that. Winning Over New Crowds On The Road JF: Touring leading into this album has also been interesting, we’ve been touring with Pierce The Veil, they’re incredible musicians, the show is really good, they’re just up there ripping. Initially we were worried about playing to a new audience, to the Pierce The Veil audience, but they’re great. Also, Pierce The Veil are kids, and young people are just the best. They’re excited, they’re not jaded and they’re ready to have fun. They’re ready to rock full of life. And on this run, the more remote the town, the better the show was. Rogers, Arkansas was one of the best shows. I don’t even know where that is! It was great. In a place like that, you don’t get shows at all unless they’re country artists, so they’re fucking pumped to see a rock show. Also, I was just tickled, these kids are going to watch this show and then they’re going to high school the next day. Fucking sweet. Living With The Album (Then Never Listening To It Again) JF: When it comes to the album, I like all the songs. I’ve heard them all too many times, we’ve all listened to the album so many times while we were making it, we’ll be fucking sick of it by the time it comes out, and we’ll never listen to it again. But I do think the songs are really good. I think DON’T KILL YOURSELF is really great, we made a cool music video for it that’ll be coming out too. Every Song Gets A Video (Unfortunately) JF: On the music video topic, that’s been a pain in the ass too, we’ve been doing a music video for every song. By the end of it, every song on the album will eventually have a music video, which is a huge pain in the ass. I don’t recommend that either. We know we can do videos really cheap, we stretch the dollar and do really low-budget videos. But it’s just a fuck ton of work. Videos have never meant less than they do right now, but we’ve found that it does help with every new single that a video comes out with it. And for the fans it makes it more fun and more of a premiere. We’ve done that consistently for this album, and there’s only a few videos left to release that are covering all the singles. Then we’re going to take a little break, but eventually we’ll make ’em for all the other songs. And we’ve already shot some of the videos for the other songs too. Recording Through Literal Apocalypse JF: We also made this album while the entirety of LA was on fire. It was fucking apocalyptic! But then we started to get worried, we’re like: “fuck, we don’t want people to think these songs are all written about the fucking fires”. But everyone forgot really fast anyway. I remember the same shit happened in Australia to you guys, the entire country was on fire. It’s horrible. In California, it’s the same thing. When we were making this album, I remember being pretty stressed because I lived next to a park. They had this app, like a “fire watch” app. The whole time we were recording the album, I was looking at fires and there was one right next to my house. I was like: “motherfucker!!”. So I got in my car, I drove down there and the cops had already arrested him, but there was just some guy there just setting a fire, some arsonist guy. They caught him immediately, but I was so pissed. I’m like: “dude, you’re going to burn down my house?!”. The Kesha Candle Incident JF: And finally, this is a little silly, but it’s one extra fact. When we were making CONFLICT DLC, I took this insane world-ending shit. We have a small studio with a tiny bathroom, and I stunk up the place so badly that they were yelling at me: “dude, do something!!”. The producer that we worked with on the album, he’s worked with Kesha, the pop artist, and she had this candle from her album release event for her album this year. I lit it, and the scent was so horrible and overpowering, we couldn’t get it out of there for like five days, and we were just miserable those whole sessions because of this goddamn candle. It was insanely powerful. So, there go you, pop star Kesha’s got a wicked candle! It’s a shit neutralising candle, we were like: “the candle was so bad, I would rather smell the shit than the candle”. However I will say, her song Boy Crazy? One of my favourite songs of the year. Amazing, big hit. She’s back, I love it! Further Reading Track By Track: HEALTH’s John Famiglietti Breaks Down ‘RAT WARS’ Ex-Lamb Of God Drummer Chris Adler Breaks His Silence On His Departure From The Band Roof Collapses At Bad Omens’ Melbourne Show, Reportedly Injuring Fans The post From Bonus EP To Sonic Apocalypse: Inside HEALTH’s New Album ‘CONFLICT DLC’ appeared first on Music Feeds. View the full article

Machine learning models often fail in production without proper MlOps Services management. Top MlOps Services fix this by automating ML deployment, model monitoring, and scaling for reliable MLOps results.​ Understanding MlOps Services Basics MlOps Services blend machine learning with DevOps practices to streamline operations effectively and reliably. They help teams move models from experiments to live use without headaches in MLOps pipelines. These MlOps Services cover data handling, training, testing, and updates for seamless workflows. Businesses gain speed and trust in AI outputs through strong MLOps practices. For instance, automated checks catch issues early in ML operations.​ In simple terms, MlOps Services make ML repeatable and safe, much like DevOps does for apps. It handles unique ML challenges like changing data in MLOps workflows. Teams using these MlOps Services see models perform better over time with less manual work in production ML.​ Key Benefits of MlOps Services Adopting MlOps Services cuts deployment time by half for many teams in CI/CD for ML. Costs drop as automation replaces manual work in MLOps platforms. Reliability rises with constant model monitoring, so models stay accurate even as data evolves. Teams collaborate better across roles with MLOps tools.​ Scalability supports growth without rework in ML scaling. Real gains show in faster decisions and happier customers via MLOps benefits. For example, companies report up to 15% lower operational costs through better predictions and efficiency in data pipelines.​ Full MlOps Lifecycle Breakdown The MLOps lifecycle has clear steps for smooth MlOps Services operations. Each phase builds on the last for end-to-end MLOps control. Data collection starts it all, followed by cleaning and feature work. Training and validation come next, with versioning key for repeatability in ML lifecycle.​ Deployment uses CI/CD pipelines for safe releases. Model monitoring tracks performance, triggering retrains as needed. This loop ensures models improve continuously with MLOps automation. Lifecycle StageMain TasksCommon ToolsData ManagementCollect, clean, version dataDVC, Great Expectations ​Model DevelopmentTrain, tune, validateMLflow, TensorFlow ​DeploymentCI/CD for ML, servingKubernetes, Seldon ​OperationsModel monitoring, retrain, scalePrometheus, Kubeflow ​ This table outlines stages simply and shows how MLOps tools fit for efficiency.​ MlOps Services Compared to DevOps MlOps Services extends DevOps for ML needs. DevOps focuses on code; MlOps Services adds data and model care. Both use automation and teamwork, but MLOps tracks experiments and drift unlike standard apps.​ FeatureMlOps ServicesDevOpsCore FocusModels and dataCode and infra ​VersioningData, models, featuresSource code ​TestingAccuracy, bias checksUnit, integration ​Model MonitoringDrift, predictionsLogs, uptime ​ MlOps Services borrows CI/CD from DevOps but customizes for ML flows. This makes it a natural next step for tech teams.​ Essential Features in MlOps Services Look for full lifecycle coverage in top MlOps Services. End-to-end help from setup to tweaks sets them apart. MLOps pipeline automation ensures repeats without errors. Integration with clouds like AWS eases moves to production.​ Model monitoring dashboards alert on drops right away. Security and compliance fit regulated fields like finance and health.​ Automated retraining on data shifts keeps models fresh in MLOps. Team training builds skills for long-term ownership with MlOps Services. Global support handles any scale or location.​ CI/CD expertise shines, deploying without downtime even as data grows.​ Common MlOps Challenges Solved Data quality issues plague many teams. MlOps Services standardize prep for consistency every time. Skill mixes confuse roles between data scientists and ops. Training bridges these gaps effectively.​ High costs slow starts for smaller businesses. Cloud options scale pay-as-you-go to fit budgets in ML scaling. Compliance worries ease with built-in safeguards for sensitive data.​ Partners guide custom fixes and train staff for future-proof MLOps setups. This hands-on approach reduces risks and speeds results.​ Industry Success Stories Retail giants like Walmart use MlOps Services for stock forecasts, cutting waste by 15%. Healthcare predicts equipment fails early, saving lives and money with model monitoring. Finance spots fraud in real-time with full audits.​ Tech firms speed new features to users faster across global teams via MLOps pipelines. These wins prove MlOps Services drives real business value in diverse sectors.​ Proven Best Practices Define goals first, tied to clear business outcomes. Start simple, then automate fully across the MLOps pipeline. Version all assets: data, code, and models for easy rollbacks. Test rigorously at each step to catch problems early.​ Encourage cross-team tools and shared dashboards. Monitor key metrics like accuracy, latency, and drift with model monitoring.​ PracticeWhy It MattersQuick TipAutomationSaves time and errorsScript all steps ​Version ControlEnsures reproducibilityUse Git for models ​Model MonitoringProvides early alertsSet drift thresholds ​CollaborationReduces silosShared dashboards ​ Follow these for strong, lasting results in any MLOps setup. Why Choose DevOpsSchool Platform DevOpsSchool leads in DevOps and MlOps Services training worldwide. They provide courses, certifications, and hands-on labs on MLOps, cloud, Kubernetes, and more for all skill levels.​ Global reach covers India, USA, Europe, UAE, UK, Singapore, and Australia. Options include flexible online and onsite formats with real-world MLOps projects. Highlights include: Tailored pipelines blending DevOps and ML best practices. Full lifecycle support from consulting to ongoing model monitoring. Proven client wins in health, finance, retail, and tech. Training programs that empower teams for independence.​ Meet Mentor Rajesh Kumar Guidance comes from Rajesh Kumar, with 20+ years in DevOps, DevSecOps, SRE, DataOps, AIOps, MLOps, Kubernetes, and cloud technologies. He’s trained over 10,000 professionals at companies like ServiceNow, Adobe, IBM, and Intuit.​ At Cotocus, he leads global CI/CD initiatives for major projects. Rajesh shares practical tips via YouTube channels, blogs, and forums, focusing on real-world MlOps applications. His clear teaching style, hands-on examples, and quick query resolution earn high praise from trainees.​ Start Your MlOps Journey Transform your ML projects with expert MlOps Services. Contact today for a custom plan that fits your team and MLOps goals. Email: [email protected] Phone & WhatsApp (India): +91 7004 215 841 Phone & WhatsApp (USA): +1 (469) 756-6329 DevOpsSchool Conclusion and Overview MlOps Services make machine learning production-ready, reliable, and scalable across the board. They automate common hassles to deliver steady business wins in ML deployment.​ In overview, assess your needs first, automate the full MLOps lifecycle, monitor actively for issues, and partner with proven experts. This straightforward path maximizes AI value for the long term, helping businesses stay ahead in a data-driven world with model monitoring and CI/CD for ML. 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Certain motherboard models from vendors like ASRock, ASUSTeK Computer, GIGABYTE, and MSI are affected by a security vulnerability that leaves them susceptible to early-boot direct memory access (DMA) attacks across architectures that implement a Unified Extensible Firmware Interface (UEFI) and input–output memory management unit (IOMMU). UEFI and IOMMU are designed to enforce a securityView the full article

Wiz Khalifa has found himself in some hot water overseas, with the rapper reportedly sentenced to nine months in a Romanian jail following a drug possession case stemming from a festival performance last year. According to Romanian prosecutors, Khalifa (real name Cameron Jibril Thomaz) was stopped by police in July after allegedly smoking cannabis onstage during his set at the Beach, Please! Festival in Constanta County. Authorities claim he was found in possession of more than 18 grams of cannabis, and that some of it had been consumed mid-performance – a move that might fly at plenty of festivals elsewhere, but very much doesn’t in Romania. Wiz Khalifa – ‘Roll It Up Freestyle’ Khalifa was formally charged with “possession of dangerous drugs, without right, for personal consumption”, per Romanian outlet Agerpres. He was initially hit with a relatively modest fine of 3,600 lei (roughly $830 AUD), however prosecutors appealed that decision, pushing for a harsher penalty – which has now resulted in the nine-month jail sentence. There’s a pretty big caveat, though. Wiz doesn’t live in Romania, meaning authorities would need to formally request extradition from the United States for that sentence to be enforced. At the time of writing, there’s been no public confirmation on whether that step will actually be taken, or how likely it is to happen. Still, it’s a wild reminder that what might seem like business-as-usual on a festival stage in one country can carry very different consequences in another. For now, it remains to be seen whether Wiz Khalifa’s Romanian saga goes any further – but it’s definitely not the kind of overseas tour story artists usually hope to come home with. Further Reading Wiz Khalifa Welcomes Second Child, Daughter Kaydence Dozens Injured After Barrier Collapses At Snoop Dogg & Wiz Khalifa Concert Wiz Khalifa Got Arrested At An Airport For Riding A Hover Board The post Wiz Khalifa Sentenced To Nine Months In Romanian Jail Over Cannabis Incident appeared first on Music Feeds. View the full article

LLM-powered chatbots have risks that we see playing out in the headlines on a nearly daily basis. But chatbots are limited to answering questions. AI agents, however, access data and tools and carry out tasks, making them infinitely more capable – and more dangerous to enterprises. The OWASP Top 10 for Agentic Applications can help CISOs explain what the issues are to their business counterparts. It can also help CISOs to directly improve agentic AI security, because it comes with threats taxonomy, mitigation strategies and playbooks, and example threat models. It’s all part of OWASP’s Agentic Security Initiative. Scott Clinton, OWASP GenAI security project board co-chair and co-founder, says he was surprised by how many agentic solutions were already deployed in organizations that the OWASP team uncovered while they were researching the list. And how many of those solutions were deployed without the knowledge of IT and security teams. This level of risk is unprecedented, he says. That includes a lot of theoretical, “academic” risks. “However, we focused on those that were data-driven,” he says. “Where we would provide practical guidance based on real-world conditions today.” The challenge of educating stakeholders “If you’re a CSO, chances are you are having quite a time educating your stakeholders about the risks that are being introduced by the use cases that are probably being pushed on you,” says Kayla Underkoffler, director of AI security and policy advocacy at Zenity, an AI security company, and one of the core contributors to the OWASP list. The CISO might not be able to say no, she adds – but might also be a little hesitant to say that the company can go all in and adopt the technology without thinking of the consequences. The list was deliberately designed to be consumable, she says. “It will help with threat modeling, help with telling the story, help explain what controls need to be in place to reduce the risk and why.” A security leader can get an agentic AI use case from the business and align the top risks to fit that use case. The list also provides a common language around agentic AI and its risks, Underkoffler says. Actionable guidance Agentic AI is the main topic of conversation in discussions among his peers, says Keith Hillis, VP of security engineering at Akamai Technologies. “Most organizations are confronted with the challenge of balancing the promising power of AI while also ensuring the organization is not incurring increased security risk,” he says. So, the biggest value he finds in the new Agentic AI OWASP top 10 is that it’s immediately useful. “It’s directly actionable as a control baseline in both security architecture and governance, risk, and compliance contexts,” he says. One aspect of the list that he found particularly insightful was the evolution of “least privilege” to “least agency.” He recommends that CISOs use the list to assess their programs, identify gaps, and map out a plan of action for improvement. “Most likely already have active programs in place,” he says. But it’s also likely they will need to evolve to accommodate the specific risks of agentic AI. Missing pieces The only thing that’s lacking in this first release of the list is that some of the mitigation sections aren’t detailed enough, says Zenity’s Underkoffler. But there are plans to address that. “We have some efforts to really dive into the mitigations for security teams, to help implement these controls,” she says. “Not just descriptions of what you should do but real code examples of how you can implement them.” For example, she says, one of the suggested mitigations is to “apply the principle of least privilege”. “Which is completely accurate,” she says. “Everyone should apply the principle of least privilege. But what does that mean for agents?” Rick Holland, data and AI security officer at Cyera, a data security vendor, says he’d like the list to explain the likelihood of each type of attack. “Not all threat actors are created equal,” he says. For organizations targeted by nation-state actors, for example, the attackers might use more sophisticated attack vectors, like memory and context poisoning or agentic supply chain vulnerabilities. Rank-and-file cybercriminals might go after more low-hanging fruit, Holland says, using techniques like agent goal hijack or tool misuse. Jose Lazu, associate director of product management at CMD+CTRL, a security training company, says that there are some second-tier risks that could have been included, such as model and tuning supply-chain integrity, long-horizon data poisoning, multi-agent coordination exploits, and cost-based resource exhaustion. “These areas are evolving quickly, so CSOs need to keep them on their radar,” he says. OWASP Top 10 for Agentic AI Below we list the OWASP Top 10 for Agentic Applications 2026, a framework that identifies the most critical security risks facing autonomous and agentic AI systems. 1 – Agent Goal Hijack Attackers use prompt injection, poisoned data, and other tactics to manipulate the AI agent’s goals, so that the agent carries out unwanted actions. For example, a malicious prompt can manipulate a financial agent into sending money to an attacker. 2 – Tool Misuse and Exploitation Agents misuse legitimate, authorized tools for data exfiltration, destructive actions, and other unwanted behaviors. In fact, we’ve already seen examples of AI agents deleting databases and wiping hard drives. 3 – Identity and Privilege Abuse Flaws in agent identity, delegation, or privilege inheritance allow attackers to escalate access, exploit confused deputy scenarios, or execute unauthorized actions across systems. For example, an attacker can use a low-privilege AI agent to relay instructions to a high-privilege in order to do things they’re not supposed to be able to do. 4 – Agentic Supply Chain Vulnerabilities Compromised or malicious third-party agents, tools, models, interfaces, or registries introduce hidden instructions or unsafe behavior into agentic ecosystems. For example, an attacker can embed hidden instructions into a tool’s meta-data. 5 – Unexpected Code Execution Agent-generated or agent-invoked code executes in unintended or adversarial ways, leading to host, container, or environment compromise. AI agents can generate code on the fly, bypassing normal software controls, and attackers can leverage this. For example, a coding agent writing a security patch might include a hidden back door due to poisoned training data or adversarial prompts. 6 – Memory and Context Poisoning Attackers corrupt persistent agent memory, RAG stores, embeddings, or shared context to affect an agent’s future actions. For example, an attacker keeps mentioning a fake price for a product, which gets stored into an agent’s memory, and the agent might later think the price is valid and approves bookings at that price. Contaminated context and shared memory can spread between agents, compounding corruption. 7 – Insecure Inter-Agent Communication Weak authentication, integrity, or semantic validation in agent-to-agent messaging enables spoofing, tampering, replay, or manipulation. For example, an attacker can register a fake agent in a discovery service, and intercept privileged coordination traffic. 8 – Cascading Failures A single fault, such as hallucination, poisoned memory, or compromised tool, propagates across autonomous agents. For example, a regional outage in a hyperscaler can break multiple AI services, leading to a cascade of agent failures across many organizations. 9 – Human-Agent Trust Exploitation Agents exploit human trust, authority bias, or automation bias to influence decisions or extract sensitive information. For example, a compromised IT support agent can request credentials from an employee and send them to the attacker. 10 – Rogue Agents Agents can act harmfully and deceptively in such a way that individual actions may appear legitimate. This could be due to prompt injection, or due to conflicting objectives or reward hacking. For example, an agent whose job is to reduce cloud costs might figure out that deleting files is the most efficient way to do that. View the full article

In einem falschen Security-Mindset gefangen? Foto: Paul Craft – shutterstock.com Dass Jobs im Bereich Cybersecurity ein hohes Burnout-Potenzial aufweisen, ist längst kein Geheimnis mehr: Das Umfeld von Sicherheitsprofis ist vor allem geprägt von dem (gefühlten) Druck, täglich steigenden Anforderungen gerecht werden zu müssen. Dafür sind diverse Gründe ursächlich – in erster Linie aber die Art und Weise, wie über Security gedacht wird. Die gute Nachricht: Wenn Sie ein schädliches Mindset identifizieren, können Sie es verändern und sowohl sich als auch Ihre Teams besser für den Erfolg positionieren. Cybersicherheit ist ein hochtechnisches Gebiet und in gewisser Hinsicht eine harte Wissenschaft. Auf der anderen Seite ist sie aber auch stark von Elementen der Psychologie und Moral geprägt. Wie effektiv die IT-Sicherheit letztlich ausfällt, hängt auch vom Mindset und den Überzeugungen der Fachkräfte und Entscheider auf diesem Gebiet ab. Sollten Sie eines der folgenden sechs Mindsets an den Tag legen, ist Arbeit angesagt, damit ein gesünderes Security-Umfeld gedeihen kann. 1. “Security ist ein Ziel” Ein besonders heimtückisches Security-Mindset ist die Überzeugung, dass es sich um eine Reise mit Start- und Zielpunkt handelt. Zu dieser Überzeugung kommt man (hoffentlich) nicht bewusst – Profis ist klar, dass es sich um eine kontinuierliche Aufgabe handelt. Unterbewusst kann es aber durchaus dazu kommen, dass es zu vorübergehender Untätigkeit kommt, wenn bestimmte Tasks gerade erledigt wurden. Das führt allerdings nur dazu, dass alle im Team mehr unnötigen Stress haben. Denn wer ein Ende in Aussicht stellt, erzeugt ein subtiles Gefühl der Enttäuschung oder gar des Scheiterns, sobald offenbar wird, dass es doch immer noch etwas mehr zu tun gibt. Zur Ruhe werden Sie (und Ihr Team) erst kommen, wenn sie akzeptieren, dass Security ein fortlaufender Prozess ist. 2. “IT-Sicherheit ist nur was für Profis” Die Auffassung, dass Security ausschließlich in den Händen der entsprechenden Spezialisten liegt, führt zu zweierlei unglücklichen Konsequenzen: Alle anderen Mitarbeiter werden – zumindest gefühlt – aus der Verantwortung entlassen. Sicherheitsprofis werden auf subtile Weise in eine Einzelkämpferrolle gedrängt. Softwareentwickler sollten Security in jeder Phase des Lebenszyklus im Hinterkopf behalten, statt sich erst zur Auslieferung damit zu befassen. Das gilt jedoch auch für alle anderen Mitarbeiter im Unternehmen: Nur wenn Awareness herrscht, kann die Gefahr von Cyberangriffen minimiert werden. Natürlich kommt den Sicherheitsexperten diesbezüglich eine führende, beziehungsweise leitende Rolle zu. Letztendlich sollte sich aber jeder Mitarbeiter dazu befähigt fühlen, zur allgemeinen Unternehmenssicherheit beitragen zu können. Eine gemeinschaftliche Aufgabe stärkt davon abgesehen auch das Wir-Gefühl. 3. “Security wird immer nur diffiziler” Kaum etwas ist entmutigender als eine klassische Sisyphos-Aufgabe. Dieser Eindruck kann allerdings leicht entstehen, wenn es um Security geht: Cyberkriminelle werden immer raffinierter und nutzen immer bessere Tools, während die digitale Infrastruktur, die geschützt werden muss, sich immer umfangreicher, komplexer und vernetzter gestaltet. In der Realität ist der Kampf zwischen White und Black Hats ein ständiges Geben und Nehmen. Das Phänomen Ransomware ist ein gutes Beispiel: Eine Zeit lang schienen sich Verschlüsselungstrojaner zu einer Plage zu entwickeln – inzwischen hat sich die Sicherheitsbranche entsprechend weiterentwickelt und messbar zurückgeschlagen. Indem Sie die zyklische Natur der IT-Sicherheit akzeptieren, befähigen Sie sich dazu, eine Haltung einzunehmen, die die richtige Balance zwischen Entspannung und Wachsamkeit findet. Mentales Gleichgewicht ist der Schlüssel zu langfristigem (Security-)Erfolg. Sie wollen weitere interessante Beiträge rund um das Thema IT-Sicherheit lesen? Unser kostenloser Newsletter liefert Ihnen alles, was Sicherheitsentscheider und -experten wissen sollten, direkt in Ihre Inbox. Jetzt CSO-Newsletter sichern 4. “Sicherheit ist ein Produkt” Die IT Security wird nicht selten als Standalone-Funktion oder Zusatzprodukt betrachtet, die über die zugrundeliegende Infrastruktur “gestülpt” wird oder als konkrete “Sache”, die finalisiert und ausgeliefert werden muss. Das ähnelt ein bisschen der einstigen Perspektive auf Qualität im Allgemeinen als eine eigenständige, separate Komponente der Dinge. Um es mit Aristoteles zu sagen: “Qualität ist keine Handlung, sondern eine Gewohnheit”. Security wiederum ist wie Qualität kein fertiges Produkt, sondern (wie bereits angemerkt) eine fortlaufende Disziplin. Sicherheit als eine Praxis zu betrachten, die ständig verfeinert werden muss, setzt die dafür nötige Energie frei. Sie sollten es als Segen betrachten, in einem Bereich zu arbeiten, der kontinuierlich Raum für Wachstum und die Möglichkeit bietet, Ihre Skills vollumfänglich zur Geltung zu bringen. Haben Sie dieses Mindset verinnerlicht, gilt es, das mit dem gesamten Unternehmen zu teilen. Security sollte in keinem Fall wie ein Produkt ausgeliefert werden, denn sie ist keine Begleiterscheinung oder ein Hilfsmittel. Vielmehr sollte sie der Treiber für Kultur und bewusstes Handeln sein. Kurzum: IT-Sicherheit sollte Teil des täglichen Doings sein – auf individueller und organisatorischer Ebene. 5. “Die Kriminellen treiben die Security” Security-Profis, die kontinuierlich damit beschäftigt sind, Brände zu löschen, können zur Überzeugung kommen, dass die Cyberkriminellen das Spiel beherrschen. Diese reaktive Perspektive auf die IT-Sicherheit sorgt für Frustration und ein Gefühl der Machtlosigkeit. In der Realität haben die Unternehmen das Ruder in der Hand: Sie sind es schließlich, deren Assets für Kriminelle verlockende Ziele darstellen. Die Angreifer sind in den meisten Fällen nicht zu unterschätzen – es ist jedoch das Business, dass die Sicherheit treibt. 6. “100 Prozent reicht gerade” Gute Sicherheit braucht messbare Faktoren. Metriken wie die “Mean Time to Detect” (MTTD) ermöglichen es, die Situation zu monitoren und die Effektivität von Programmen zu messen. Problematisch wird es in diesem Bereich, wenn Sie der Vorstellung erliegen, dass sich sämtliche Indikatoren stets in eine positive Richtung – oder noch schlimmer im “perfekten” Bereich – bewegen müssen. Diese unrealistische Erwartung ist ein Einfallstor für verzerrte Messwerte. Stattdessen sollten Sie Metriken eher als Wegweiser sehen, die Sie ans Ziel bringen können. Der Schlüssel liegt jedoch darin, die nötigen Schritte zu unternehmen und Maßnahmen einzuziehen, um die Dinge in die richtige Richtung lenken. Das macht es essenziell, sich ehrlich mit Messungen auseinanderzusetzen. (fm) View the full article