Identity for AI Agents - Patrick Riley & Carlos Galan, Auth0

2026-01-14 · Source: AI Engineer · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Cybersecurity & Data Privacy · Depth: Intermediate, extended

Summary

Auth0 has introduced new identity and authorization features for AI agents, including Token Vault and Async O (Asynchronous Authorization), with a major release just days prior to this presentation. The core vision is to enable safe use of any technology, extending identity management to AI agents which present new challenges like those identified in the OWASP LLM Top 10. The system models agents as clients and APIs as traditional OAuth resource servers, emphasizing four pillars: agents knowing user identity, agents calling APIs on behalf of users, agents requesting user confirmation for risky operations, and fine-grained access control. These features facilitate secure interactions for autonomous agents, allowing them to access personalized data and perform sensitive actions with user approval.

Key takeaway

For AI Engineers building agent-powered applications, you should integrate Auth0's new identity features to manage agent access and user consent. Implementing Async O will ensure human approval for sensitive operations, preventing autonomous agents from executing risky actions without oversight. Additionally, leveraging Token Vault simplifies the management of agent access to third-party APIs by securely handling token refresh and storage, enhancing both security and agent autonomy.

Key insights

New Auth0 features enable secure identity and fine-grained authorization for AI agents, addressing emerging security challenges.

Principles

• AI agents require explicit identity and authorization.
• User confirmation is critical for risky agent operations.
• Access control for agents must be fine-grained.

Method

The system uses Async O for user approval of risky actions via push notifications and Token Vault to manage and refresh upstream access tokens for agents, built on client-initiated backchannel authentication.

In practice

• Implement Async O for agent actions requiring human approval.
• Utilize Token Vault for persistent, secure agent access to APIs.
• Model agents as clients and APIs as OAuth resource servers.

Topics

• AI Agent Identity
• Asynchronous Authorization
• Token Vault
• Multi-Client Protocol
• Fine-Grained Access Control

Best for: AI Engineer, Machine Learning Engineer, Software Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Engineer.