Auth for AI Agents

Generative AI (GenAI) applications powered by large language models (LLMs) and AI agents are changing how users interact with software. As developers integrate AI capabilities that handle login, data access, and tool execution into their applications, securing these interactions becomes critical.

Auth for AI Agents leverages Auth0’s robust identity and access management (IAM) platform to secure every layer of your GenAI stack. It provides comprehensive, enterprise-grade security for:

  • Human users: Ensure only authorized individuals can interact with AI models and applications. 

  • AI agents: Control autonomous AI agent access to external APIs using OAuth 2.0 scopes.

  • External APIs and tools: Securely connect AI agents to Google, Slack, GitHub, and more. Auth0 automatically refreshes and exchanges tokens without user intervention.

  • Sensitive data: Enforce granular, least-privilege permissions to protect sensitive data from unauthorized AI agent access. 

To start building with Auth for AI Agents, read the Auth for AI Agents documentation.

Use cases

Auth for AI Agents empowers developers to build and deploy secure AI-powered applications with:

  • Seamless integrations: Integrates out-of-the-box with popular AI frameworks like LangChain, LlamaIndex, and the Vercel AI SDK.

  • Comprehensive security controls: Secures authentication flows with OAuth 2.0 and OpenID Connect and manages access for both human users and AI agents.

  • Asynchronous authorization: Enables human-in-the-loop controls for critical actions. 

  • Fine-grained authorization for RAG: Enforces granular access control within Retrieval Augmented Generation (RAG) pipelines.

User authentication

Leverage OAuth 2.0 and OpenID Connect to securely authenticate users with Universal Login. With Client-Initiated Account Linking, AI agents can request access and connect to multiple identity providers on the user’s behalf through Auth0.

Call APIs on users’ behalf

Using Token Vault, AI agents can fetch access tokens for external identity providers to call their APIs, all through a single Auth0 integration. For example, you can use Token Vault to:

  1. Authenticate a user with an external identity provider like Google. 

  2. Use OAuth scopes to authorize access to the Google Calendar API. 

  3. Get an access token to call the Google Calendar API to schedule a meeting.

Auth for AI Agents supports the following social and enterprise identity providers:

  • Google and Google Workspace

  • Microsoft and Microsoft Azure AD

  • Box

  • Slack

  • GitHub

  • OpenID Connect

  • Custom social connection

Asynchronous authorization

Add human-in-the-loop controls for critical or delayed actions using secure protocols, such as:

  • Client-Initiated Backchannel Authentication (CIBA): Enables AI agents to asynchronously implement secure backchannel authentication and authorization flows when user approval is required before taking an action.

  • Rich Authorization Requests (RAR): Enhance security by requesting specific authorization permissions for users to approve through push notifications.

Authorization for RAG

Use Auth0 FGA to enforce document and relationship-level access control in your Retrieval Augmented Generation (RAG) pipelines:

  • Document-level access control: Performs granular permission checks on RAG data sources.

  • Relationship-Based Access Control (ReBAC): Replaces broad roles with precise, fine-grained relationship-based access control decisions.

  • Compliance support: Ensures only authorized data is retrieved for data privacy and regulatory compliance.

AI Framework Integrations

Auth for AI Agents integrates out-of-the-box with leading GenAI frameworks and tools, such as:

Next steps

Ready to start building? Explore our quickstarts, how-tos, and SDKs in the Auth for AI Agents documentation.