Solving the Identity Crisis for AI Agents (Uber Engineering Blog)

This Uber engineering blog post (May 22, 2026) describes how the company extended its identity and access technology stack to support AI agents at scale. The key problems addressed are: (1) existing identity models are built for humans and workloads, not for agents acting on behalf of others; and (2) original provenance (user, intermediate agents) is lost across multi-agent hops. Uber’s solution includes an **Agent Registry** (source of truth for agent-to-workload mapping), a **Security Token Service (STS)** that mints short‑lived, single‑hop JWT tokens with full actor chain attribution, an **AI Agent Mesh** for agent‑to‑agent communication, an **MCP Gateway** for policy enforcement, and an **AI Gateway** with guardrails for external model calls. Every token exchange is cryptographically anchored in SPIRE workload identities. The system is adopted by thousands of internal agents, with P99 latency under 40 milliseconds. The post outlines Uber’s long‑term vision across three layers: Identity & Trust Foundation, Dynamic Access Control, and Unified Policy Enforcement Plane. 

https://www.uber.com/us/en/blog/solving-the-agent-identity-crisis/

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