What is AI Zero Trust identity verification and how does it work?

AI Zero Trust identity verification transforms static authentication into continuous, adaptive security by analyzing user behavior patterns, device posture, access context, and threat intelligence in real-time to assign dynamic trust scores. By 2028, 60% of Zero Trust tools will incorporate AI capabilities including behavioral biometrics (keystroke patterns, mouse movements), anomaly detection, automated policy enforcement, and predictive threat identification—enabling organizations to detect compromised credentials before attackers can exploit them.

AI-powered identity verification continuously monitors sessions rather than just validating at login, automatically adjusting access permissions when detecting unusual activities like impossible travel, abnormal data access patterns, or suspicious application usage. This adaptive approach reduces false positives while catching sophisticated attacks that bypass traditional MFA. Ridge IT’s AI-enhanced Zero Trust implementations leverage machine learning to create unique behavioral profiles for each user, automatically blocking access when deviations occur.