Identity Access Management | Breaking Cybersecurity News | The Hacker News

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...

After a good year of sustained exuberance, the hangover is finally here. It's a gentle one (for now), as the market corrects the share price of the major players (like Nvidia, Microsoft, and Google), while other players reassess the market and adjust priorities. Gartner calls it the trough of disillusionment , when interest wanes and implementations fail to deliver the promised breakthroughs. Producers of the technology shake out or fail. Investment continues only if the surviving providers improve their products to the satisfaction of early adopters.  Let's be clear, this was always going to be the case: the post-human revolution promised by the AI cheerleaders was never a realistic goal, and the incredible excitement triggered by the early LLMs was not based on market success.  AI is here to stay  What's next for AI then? Well, if it follows the Gartner hype cycle, the deep crash is followed by the slope of enlightenment where the maturing technology regains its foo...

Most microsegmentation projects fail before they even get off the ground—too complex, too slow, too disruptive. But Andelyn Biosciences proved it doesn't have to be that way.  Microsegmentation: The Missing Piece in Zero Trust Security   Security teams today are under constant pressure to defend against increasingly sophisticated cyber threats. Perimeter-based defenses alone can no longer provide sufficient protection as attackers shift their focus to lateral movement within enterprise networks. With over 70% of successful breaches involving attackers moving laterally, organizations are rethinking how they secure internal traffic.  Microsegmentation has emerged as a key strategy in achieving Zero Trust security by restricting access to critical assets based on identity rather than network location. However, traditional microsegmentation approaches—often involving VLAN reconfigurations, agent deployments, or complex firewall rules—tend to be slow, operationally disrupt...