HAI Secuity

Security View

This document outlines the security posture of the hai-agents application based on a review of the source code.

1. Secret Management

Centralized Secrets: All secrets, API keys, and credentials are centrally managed in infra/secrets.ts using the sst.Secret construct. This is a strong security practice, preventing sensitive data from being hardcoded in application logic.

Comprehensive Secret Coverage: The application manages secrets for a wide range of services, including:

Cloud & AI Providers: Azure OpenAI, Google Generative AI, Hugging Face.
Third-Party SaaS: Confluence, SharePoint, GitHub, Slack.
Authentication & Observability: WorkOS, Langfuse.
Internal Resources: databaseUrl.

Secure Injection: Secrets are securely passed to Lambda functions and other cloud resources at runtime via SST's linking mechanism, rather than being exposed as plaintext environment variables.

2. Authentication and Authorization

Dual Authentication Strategy: The application employs two distinct authentication systems, configured in infra/api.ts:

AWS Cognito User Pool: For standard user registration and sign-in.

WorkOS JWT Authorizer: A custom Lambda authorizer (packages/functions/src/api/workos-jwt-authorizer.handler) to handle enterprise-grade authentication (likely SAML/SSO) via WorkOS.

Enforced API Authorization: API routes defined in infra/api-routes.ts are protected by the workosJwtAuthorizer, ensuring that access to the API requires valid authentication.

3. Frontend Involvement

OAuth Flow Initiation: The frontend (infra/frontend.ts) receives client IDs and auth URLs, indicating it is responsible for initiating and handling the client-side of OAuth 2.0 flows with third-party services.

Overall Assessment

The application demonstrates a robust security design. Key strengths include the centralized and secure management of secrets and a clear, multi-faceted authentication strategy. There are no immediately visible signs of common vulnerabilities like hardcoded credentials.