face detection algorithm | Breaking Cybersecurity News | The Hacker News

Online harassment has been elevated a step with the advent of popular social networks like Facebook. Cyber stalkers create fake profiles impersonating other Facebook users and start doing activities on their behalf until and unless the owners notice the fake profiles and manually report it to Facebook. Even in some cases, cyber stalkers block the Facebook account holders whom they impersonate in order to carry out mischievous tasks through fake profiles without being detected by the actual account holders. But now, online criminals can no longer fool anyone with impersonation method, as Facebook is currently working on a feature that automatically informs its 1.6 Billion user base about the cloned accounts. If the company detects a duplicate Facebook account of a user, it will automatically send an alert to the original account holder, who'll be prompted to identify if the profile in question is indeed a fake profile impersonating you or if it actually belongs t...

Well, this is incredible and scary both at the same time. Forget about "facial" recognition; Facebook's newest technology is way good at identifying you in photos even without the need to see your face . The New Scientist is reporting about the Facebook's new "experimental" facial recognition algorithm which is so powerful that it can identify you in photos even when your faces are hidden. Instead, the Facebook's extremely accurate facial recognition algorithm uses other unique characteristics — such as your hairstyle, your body shape, your body language, your clothing and how you carry yourself — to identify that it's you. Facebook's New Facial Recognition Technology - 83% Accurate Facebook's artificial intelligence lab is working on this technology and, according to the head of artificial intelligence at Facebook Yann Lecun , the experimental algorithm is currently able to identify individuals with 83% accuracy, even if ...

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...