AI Red Teaming OAuth Token Refresh enables you to configure long-running AI red teaming scans against target APIs that require authentication, eliminating scan interruptions caused by expired credentials. When you configure a target in AI Red Teaming, you select one of three authentication methods: Using Headers or Using Payloads, or OAuth2.0. AI Red Teaming securely stores all authentication credentials in Google Secret Manager and automatically injects the appropriate authentication headers into each API request during scan execution.

For targets that use OAuth2-based authentication, AI Red Teaming manages the complete token lifecycle without requiring manual intervention. The system fetches an initial access token from your OAuth2 provider's token endpoint using the client credentials you configure, caches the token in memory, and proactively refreshes it before expiration based on a configurable buffer period that defaults to five minutes. If a token expires unexpectedly or is revoked by the provider, AI Red Teaming detects authentication errors during scan execution, invalidates the cached token, requests a fresh token from the provider, and automatically retries the failed request. This reactive refresh mechanism ensures that your scans continue uninterrupted even when tokens expire earlier than expected due to policy changes or service interruptions.

You should use OAuth Token Refresh when you need to run extended red teaming campaigns against enterprise AI systems protected by modern authentication mechanisms. For instance, Azure OpenAI deployments secured with Entra ID issue access tokens that expire after 60 minutes, which is typically shorter than the duration of comprehensive static attack jobs that generate thousands of adversarial prompts or dynamic agent jobs that execute multi-turn conversation flows. Without automatic token refresh, these scans would fail mid-execution with authentication errors, requiring you to manually restart the job and potentially losing progress. Similarly, Databricks Model Serving endpoints and custom enterprise APIs increasingly require OAuth2 client credentials for secure API access. With AI Red Teaming OAuth Token Refresh, you can test these protected endpoints continuously without managing token expiration manually.

The feature also addresses compliance and security requirements by centralizing credential storage in Google Secret Manager rather than exposing secrets in configuration snapshots or API responses. When you view or edit a target configuration, all sensitive authentication values are redacted to masked placeholders, and the system preserves your original credentials when you submit updates without changing them. This approach prevents credential leakage through logs, API responses, or configuration exports while maintaining operational flexibility. For targets deployed behind private networks, AI Red Teaming routes both API requests and OAuth2 token requests through the Network Channel service with automatic fallback to direct connectivity when the token endpoint is publicly accessible, ensuring that authentication works seamlessly regardless of your network topology.