As AI becomes autonomous, identity has emerged as the core control plane.  Non-human identities now vastly outnumber humans, executing privileged actions continuously across cloud, hybrid, and on-prem environments. This shift has fractured centralized control and created visibility gaps where risk grows faster than security teams can respond.
Traditional PAM, designed for static credentials and human-driven sessions, cannot secure ephemeral infrastructure, nonstop automation, or AI systems operating without a human in the loop.
This session explores the risks of agentic AI and shows how identity security must evolve to real-time, context-aware, ephemeral authorization. Using real-world examples, we’ll demonstrate how AI-powered identity security enables agent discovery, continuous analysis, and real-time monitoring to stop risky behavior as it happens.