AI & Intelligence
Combined Session
Friday, May 22, 2026 11:35—12:35
Location: B 05
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Friday, May 22, 2026 11:35—12:35
Location: B 05
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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.
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In this session, Patrick Parker, Founder and CEO of EmpowerID, presents a real-world approach to discovering, governing, and controlling AI agent identities through continuous visibility, policy-based access governance, and risk-aware authorization. Attendees will gain practical insight into how organizations can extend identity governance principles to agentic AI environments while maintaining accountability, Zero Trust enforcement, and operational control at scale.
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As enterprises deploy autonomous AI agents across business workflows, identity systems designed for human users are being pushed beyond their original operating model. In this session, Matthew Berzinski, EMEA Field CTO at Ping Identity, explores how Ping is addressing the rise of agentic AI through runtime authorization, AI agent identity management, delegated trust, and continuous governance for non-human identities.
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As AI agents transition from experimental tools to autonomous actors within the enterprise, traditional identity and governance models are reaching their breaking point. Treating these agents as mere application features—rather than first-class identities—has created significant security blind spots. Our panel will map out the journey toward controlled autonomy, where organizations harness the power of agentic AI without sacrificing security or accountability.
