Mitigate Excessive Agency in AI Agents using a Zero Trust Security model. Practical guide for developers to implement RBAC, FGA, OAuth, and CIBA.

Auth0's platform is a  identity management solution, offering insights into authentication, authorization, and user management for web and mobile applications. Through articles, tutorials, and documentation, Auth0 offers insights into securing applications with modern identity protocols like OAuth and OpenID Connect. Developers can learn about implementing single sign-on (SSO), multi-factor authentication (MFA), and user authorization policies to enhance application security and user experience.

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Excessive Agency is a critical security vulnerability in AI agents where systems are granted overly broad permissions, potentially leading to unauthorized or harmful actions. This guide demonstrates implementing Zero Trust security principles to mitigate these risks through three key strategies: controlling tool access with RBAC and Fine-Grained Authorization, securely calling APIs using OAuth 2.0 and token vaults instead of storing credentials, and implementing human-in-the-loop approval for critical actions using CIBA flow. The approach ensures AI agents operate with minimum necessary permissions while maintaining functionality.

Mitigate Excessive Agency in AI Agents with Zero Trust Security

The security challenge: When agents have too much power

Taming the agent: A Zero Trust security model