Amazon Bedrock AgentCore Identity vs Auth0 for AI Agents (Token Vault)

Amazon Bedrock AgentCore Identity

The service handles user-delegated, machine-to-machine and on-behalf-of token flows through one call, with IAM scoping, KMS encryption and published quotas. It only works inside an AWS account a person creates, the hosted consent portal needs an AgentCore Gateway, and no call to revoke one user's stored grant was found in the API reference.

Auth0 for AI Agents (Token Vault)

Standard grants throughout, RFC 8693 token exchange, CIBA with RAR and DPoP. Only works when Auth0 is the identity provider for your users.

Amazon Bedrock AgentCore Identity

1. Get a workload access token first (GetWorkloadAccessTokenForJWT in production), then pass it as workloadIdentityToken to GetResourceOauth2Token or GetResourceApiKey.
2. When GetResourceOauth2Token returns authorizationUrl instead of accessToken, send the URL to the user and call again with the same sessionUri after consent.
3. For user-delegated flows, host an HTTPS callback, register it with UpdateWorkloadIdentity as an allowed return URL, and call CompleteResourceTokenAuth after checking the user's session.
4. Ask for refresh tokens in the provider's own way, such as access_type=offline in customParameters for Google or the offline_access scope for Microsoft and Atlassian.
5. Treat a returned token as possibly revoked. On a 401 from the resource server, retry with forceAuthentication set to true.

Auth0 for AI Agents (Token Vault)

1. Turn off refresh token rotation on the application before using the refresh token exchange
2. Treat a 401 from the exchange as a missing connected account and send the user through the Connected Accounts flow
3. Pass login_hint when a user has linked two accounts from the same provider
4. Use CIBA for purchases or deletes and wait for the approval instead of asking in chat
5. Read X-RateLimit-Reset on a 429 and back off until then