AI-ENABLED cyber attacks are increasingly using personalised phishing, deepfakes and malware that can evade traditional detection by impersonating normal user activity, according to The Hacker News. The piece argues that behavioural analytics must evolve from monitoring patterns over time to dynamic, identity-based risk modelling capable of identifying real-time inconsistencies.
It notes that conventional monitoring can fail because signature-based and rule-based approaches struggle against AI-generated threats that adapt their behaviour to appear normal and blend with legitimate activity. To counter this, organisations should extend behavioural visibility across the entire stack, enforce zero-trust principles and rely on context-aware analytics that combine identity, device and session information.
The article highlights modern Privileged Access Management solutions such as Keeper, which consolidate behavioural analytics, real-time session monitoring and Just-in-Time access to protect both human and non-human identities. It also mentions Ashley D’Andrea as a contributor and is dated 20 March 2026.