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After enabling ' Site Isolation ' security feature in Chrome for desktops last year, Google has now finally introduced 'the extra line of defence' for Android smartphone users surfing the Internet over the Chrome web browser. In brief, Site Isolation is a security feature that adds an additional boundary between websites by ensuring that pages from different sites end up in different sandboxed processes in the browser. Since each site in the browser gets its own isolated process, in case of a browser flaw or Spectre like side-channel vulnerability, the feature makes it harder for attackers or malicious websites to access or steal cross-site data of your accounts on other websites. Site Isolation helps protect many types of sensitive data, including authentication cookies, stored passwords, network data, stored permissions, as well as cross-origin messaging that help sites securely pass messages across domains. The feature gained attention in January 2018, ...

Google has finally patched a privacy vulnerability in its Chrome web browser for Android that exposes users' device model and firmware version, eventually enabling remote attackers to identify unpatched devices and exploit known vulnerabilities. The vulnerability, which has not yet given any CVE number, is an information disclosure bug that resides in the way the Google Chrome for Android generates 'User Agent' string containing the Android version number and build tag information, which includes device name and its firmware build. This information is also sent to applications using WebView and Chrome Tabs APIs, which can be used to track users and fingerprint devices on which they are running. For example: Mozilla/5.0 (Linux; Android 5.1.1; Nexus 6 Build/LYZ28K ) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.34 Mobile Safari/537.36 Yakov Shafranovich, a contributor at Nightwatch Cybersecurity firm, initially reported this issue to Google three years a...

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...