How to set up secure user authentication for AI Agent

Secure user authentication verifies user identity reliably before granting access to the AI Agent. It is essential and achievable using robust protocols and best practices to protect sensitive data and functionality.

Key principles include using strong, standardized protocols like OAuth 2.0 and OpenID Connect for delegated authentication whenever possible. Implement multi-factor authentication (MFA) for enhanced security. Securely store passwords using strong, salted hashing (e.g., bcrypt, scrypt, PBKDF2) and enforce complexity policies. Manage sessions securely with cryptographically strong tokens, implement proper expiration and revocation mechanisms, and safeguard against common vulnerabilities like CSRF. All communication must use HTTPS.

To implement, first select appropriate authentication protocols based on your AI Agent's use cases (e.g., OAuth for third-party logins, SAML for enterprise SSO). Integrate an MFA solution such as TOTP or biometrics. Ensure all credentials are securely hashed and stored. Configure session management with short idle timeouts and secure token handling. Enforce strict HTTPS for all network interactions. Finally, establish monitoring and logging to detect suspicious login attempts and promptly revoke compromised sessions, reducing account takeover risks and ensuring compliance.