AI Agent Identity and Permission Challenges: How Uber and Auth0 Are Rethinking Access Control

▤ Summary

This article explains how Uber is propagating identity and permissions across multi-agent AI workflows. It shows why AI agents need delegated authority, scoped credentials, and explicit approval boundaries instead of traditional service accounts. Uber’s architecture uses an Agent Registry, token exchange, gateway enforcement, and actor-chain propagation to preserve provenance across hops. Auth0’s guidance reinforces the same direction by recommending capability-scoped permissions, task-scoped credentials, and layered enforcement for production agent systems. The piece also highlights a market trend toward secure-by-default tooling for agent identity, authorization, and auditability.

▦ Linked Companies

Auth0

$100M to $250M

Model Context Protocol

up to $1M