Run android apps on Windows | Breaking Cybersecurity News | The Hacker News

Last year at Google I/O developer event, Google launched a limited beta " App Runtime for Chrome " (ARC) project, which now expanded to run millions of Android apps within Chrome browser. Google has released a new developer tool called App Runtime for Chrome (ARC) Welder that allows Android apps to run on Chrome for Linux, Windows, and OS X systems. App Runtime for Chrome (ARC) was an early experiment specifically designed for app developers, but now anyone can download it. Google Chrome's ARC Welder app can now run any of your favorite Android apps like WhatsApp, Candy Crush, Angry Birds, all from your Chrome web browser . ARC welder tool operates via some special runtime implemented using Native Client (NaCl) in-browser binary execution tech. Native Client is a Chrome sandboxing technology that allows Chrome plugins and apps to run at near-native speeds, taking full advantage of the system's CPU and GPU. Google ported complete Android s...

From last week, Google began paving the way to run Android apps on Chrome Operating System through the project named " App Runtime for Chrome ", but the release came with a lot of limitations – it only supported certain Android apps and on Chrome OS only. At the launch, initially only 4 Android apps – Vine, Evernote, Duolingo and Sight Words – were added to the Chrome Web Store. That was pretty exciting, but it merely whet the appetite of users hungry for more functionality. So, what if you could run more than just 4 Android apps on Chrome OS? And Also could run them on other operating systems as well? A developer by the name of " Vlad Filippov " began working on it to stripped away the limits Google has imposed. He successfully figured out a way to bring more Android apps to Chrome , instead of just the four that are officially supported by Google. The bigger success was that when Filippov got Android apps to work on any desktop Operating System tha...

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...