Pixel OS | Breaking Cybersecurity News | The Hacker News

With its latest announcement to increase bug bounty rewards for finding and reporting critical vulnerabilities in the Android operating system, Google yesterday set up a new challenging level for hackers that could let them win a bounty of up to $1.5 million. Starting today, Google will pay $1 million for a "full chain remote code execution exploit with persistence which compromises the Titan M secure element on Pixel devices," the tech giant said in a blog post published on Thursday. Moreover, if someone manages to achieve the same in the developer preview versions of Android, Google will pay an additional $500,000, making the total to $1.5 million—that's 7.5 times more than the previous top Android reward. Introduced within the Pixel 3 smartphones last year, Google's Titan M secure element is a dedicated security chip that sits alongside the main processor, primarily designed to protect devices against the boot-time attacks. In other words, Titan M chip...

Here's the Raspberry Pi's Christmas treat for tech community! The Raspberry Pi Foundation has released an experimental version of its lightweight Linux-based Debian operating system called PIXEL OS that can run on most standard desktop computers ships with Windows and Mac OS X without the need of a Raspberry Pi. Initially launched in September this year, the PIXEL operating system, stands for "Pi Improved Xwindows Environment, Lightweight," was originally designed to work with Raspberry Pi to turn it into a fully-functional PC. However, Raspberry Pi has now released a version of PIXEL that comes preloaded with a variety of popular tools and can be installed directly on PCs and Mac computers, so you do not have to buy a Raspberry Pi to use PIXEL anymore. "There is a massive installed base of PC and Mac hardware out there, which can run x86 Debian just fine. Could we do something for the owners of those machines?" Raspberry Pi founder Eben Upton s...

In recent years, artificial intelligence (AI) has begun revolutionizing Identity Access Management (IAM), reshaping how cybersecurity is approached in this crucial field. Leveraging AI in IAM is about tapping into its analytical capabilities to monitor access patterns and identify anomalies that could signal a potential security breach. The focus has expanded beyond merely managing human identities — now, autonomous systems, APIs, and connected devices also fall within the realm of AI-driven IAM, creating a dynamic security ecosystem that adapts and evolves in response to sophisticated cyber threats. The Role of AI and Machine Learning in IAM AI and machine learning (ML) are creating a more robust, proactive IAM system that continuously learns from the environment to enhance security. Let's explore how AI impacts key IAM components: Intelligent Monitoring and Anomaly Detection AI enables continuous monitoring of both human and non-human identities , including APIs, service acc...