User Authentication for AI Applications and AI Agents
Robust user authentication is essential for Generative AI applications and AI agents. It ensures security, protects data, and controls access to AI models and features.
Secure and controlled access: Safeguards user data, manages who can use your AI and what they can do, and establishes a clear audit trail for both user and AI agent activities.
Agent identity & delegation: Establishes an AI agent’s identity and its authorization to act on behalf of a user.
Auditability: Provides a record of user activities for auditing and compliance.
Personalization: Enables tailored AI experiences by maintaining user preferences and conversational history.
Attack Protection: Detect attacks and stop malicious attempts to access your application, such as blocking traffic from certain IPs and displaying CAPTCHA. This includes Bot Detection, Suspicious IP Throttling, Brute Force Protection, and Breached Password Detection.
Enhanced security: Your AI application never handles user credentials directly.
Reduced development: Simplifies implementation of secure login, password policies, and MFA.
Centralized identity: Manages user profiles and integrates various identity providers efficiently.
Advanced customizations: Allows you to build custom, client-rendered versions of Universal Login screens, giving you control over every pixel of your Universal Login experience.
Use case: Ideal for most GenAI services requiring secure, frictionless user access.
Embedded Login: The login interface is integrated directly within your AI application’s UI.
Additional UI control: Allows for highly customized branding.
Increased responsibility: Requires your team to manage sensitive data inputs and secure communication within your app.
Complexity: More challenging to implement and maintain advanced features.
Use Case: Suitable for highly specialized internal AI tools in tightly controlled environments.
With Auth0, it is possible to extend authentication to AI agents accessing services on their own:
Machine-to-Machine authentication: For AI agents or backend services, use secure OAuth 2.0 Client Credentials Flow with Client Secret, mutual TLS (mTLS), or Private Key JWT to authenticate directly with AI service APIs.