Deterministic Security vs. Statistical Uncertainty: Bridging the AIdentity Gap

This talk defines the transition to AIdentity, where AI agents are governed as first-class identities rather than application features to address critical security gaps. It explains why standard OAuth and OIDC protocols fail for autonomous agents, resulting in authorization collapse and untraceable delegation chains. The session introduces Agent Visibility and Observability Platforms (AVOP) for agent lifecycle management and Agent Threat Detection and Response (ATDR) for identifying behavioral anomalies in real-time. Finally, it outlines a multi-tiered authorization reference architecture and a “human-on-the-loop” supervision model required for scalable enterprise governance.