Uber's AI Agent Identity Crisis: Solving Security & Trust

Uber is developing an internal platform for AI agents. The company faces a big challenge: ensuring security and accountability for these systems. Uber recently shared how it plans to solve this "identity crisis" for AI agents. This involves updating its identity and access technology. Here's the thing: traditional identity models were made for people, not dynamic AI agents. These agents often act as go-betweens, delegating tasks and performing actions in many steps. Without clear attribution, it's hard to trace who started an action, why, and when. This impacts auditing, compliance, and trust. This effort is crucial as AI agents increasingly perform tasks for users and interact with production systems.