How Auth0 Secures AI Authentication & Authorization for AI Agents
summary
Claims concrete fixes: use a scoped token vault to keep refresh tokens off agents, implement CIBA backchannel for human‑in‑the‑loop approvals so an unattended agent can request and receive user consent, and apply fine‑grained authorization (FGA / Zanzibar‑style tuples) to filter RAG results to only permitted records. Code examples show an Auth0 function wrapping a sensitive tool that pauses for approval and then executes the trade, and the demo succeeds with the expected approve/deny flow.
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chapters (12)
- 0:00Securing AI agents
- 2:28Agentic app security challenges
- 6:58Excessive agency and data leaks
- 7:39Engineering problems for secure AI
- 10:33User authentication in AI
- 14:49Token management after auth
- 16:55Token vault for API calls
- 19:07Human-in-the-loop for sensitive actions
- 21:56CIBA and rich auth requests
- 24:01Fine-grained auth for AI agents
- 26:32Relationship-based access control with FGA
- 28:20Summary and resources
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