The industry has reached consensus: AI agents need identity. Every major vendor and analyst agrees that autonomous agents require the same identity rigor we apply to humans. But while vendors debate architectures and analysts publish frameworks, most organizations are left wondering how to actually implement this in production. This session bridges that gap.
We will cut through the marketing noise and share what a real-world deployment of an identity layer for AI actually looks like. You will learn how to apply the three pillars that the industry agrees on—identity, visibility, and control—in a practical, production-ready way: establishing strong, hardware-backed identities for every agent; gaining forensic visibility into their actions via an AI proxy; and enforcing granular, risk-based policies on their behavior.
Finally, we will address the fragmented standards landscape for AI security. Rather than waiting for consolidation, we will show how a standardized identity layer provides the most practical path to achieving security and interoperability today, regardless of which protocols win in the long run.
Take Away Bullets