Secure Agent Workflows with Stytch Impersonation and SSO

Production AI agents require identity authority and audit trails to safely execute business workflows at enterprise scale. Stytch provides passwordless authentication, multi-factor authentication, and identity management to embed secure, auditable access into agent workflows. Impersonation tokens and SSO configuration in Stytch enable agents to operate under verified organizational authority while maintaining compliance. Agent workflows that call business APIs need first-class identity verification—not bolted-on, but designed into the authentication layer from day one.

What this tutorial covers

•
Outcome: You will implement a secure agent workflow that authenticates impersonation sessions and configures organization-level SSO, enabling auditable agent operations.
•
Endpoints used: `POST /v1/b2b/impersonation/authenticate`, `PUT /v1/b2b/organizations/{ORGANIZATION_ID}`
•
Language: typescript
•
Auth: API key (Bearer token in Authorization header)
•
Estimated implementation time: ~15 minutes

Step 1: Initialize Stytch B2B client and authenticate impersonation tokens

Production agents must operate under verified identities to ensure every action is traceable and attributable. Stytch's impersonation endpoint validates a token and returns a full session for the target user. Use the impersonation authenticate endpoint to grant your agent a session scoped to a specific organization member.

Authenticate impersonation token for agent session

Step 2: Configure organization-wide SSO in Stytch to enforce trusted access

Enterprise agent workflows must honor organizational identity policies. Update your organization's authentication methods to require SSO, ensuring all agent operations are routed through a trusted identity provider. Stytch's organization endpoint enforces authentication requirements at the boundary—agents inherit the organization's security posture automatically.

Enable SSO for organization-level agent authority

Response:

json

1{
2  "issuer": "https://auth.toolbox.dev",
3  "authorization_endpoint": "https://auth.toolbox.dev/authorize",
4  "token_endpoint": "https://auth.toolbox.dev/token",
5  "registration_endpoint": "https://auth.toolbox.dev/register",
6  "jwks_uri": "https://auth.toolbox.dev/.well-known/jwks.json",
7  "scopes_supported": [
8    "calendar.read",
9    "calendar.write"
10  ],
11  "response_types_supported": [
12    "code"
13  ],
14  "grant_types_supported": [
15    "authorization_code",
16    "refresh_token"
17  ],
18  "code_challenge_methods_supported": [
19    "S256"
20  ],
21  "token_endpoint_auth_methods_supported": [
22    "none"
23  ]
24}

Step 3: Build an audit-logged agent middleware for production workflows

Production agent workflows separate toy prototypes from enterprise systems: every agent decision must be traceable, resumable, and recoverable. Wrap agent API calls with Stytch session middleware. This middleware logs every agent action under the impersonated identity, creating an audit trail that satisfies compliance and enables failure recovery.

Wrap agent calls with session audit middleware

The middleware captures every agent action—success or failure—under the impersonated member's identity. Audit logs are stored sequentially, enabling deterministic recovery and compliance audits.

Step 4: Execute a production agent task within authenticated, audited boundaries

Integrate your agent workflow with Stytch authentication. Each agent task runs within an impersonated session and is logged for observability. This example shows a secure agent provisioning task that verifies identity, logs intent, and fails cleanly if authority is missing.

Run agent task with full Stytch session context

The agent workflow executes under verified identity, all actions are logged with timestamps and member context, and failures are captured for recovery. The audit trail is ready for compliance review and operational debugging.

Step 5: Handle agent workflow failures and implement resumable recovery

Production agents fail. Rather than crashing silently, recovery must be observable and deterministic. Stytch session tokens enable resumable execution: store the session, replay from the audit trail. Implement a failure handler that stores checkpoint state, allowing agents to resume from the last successful action.

Checkpoint and resume agent workflows on failure

Failures are captured with checkpoint state. The session token persists, allowing the workflow to resume from the last successful action without re-authenticating. This separates observable failures from unrecoverable crashes.

Common pitfalls when using Stytch

•
Confusing impersonation tokens with session tokens. Impersonation tokens are short-lived inputs to the authenticate endpoint. Session tokens and JWTs are outputs—the actual proof of identity the agent uses for subsequent API calls. Always pass the session token, not the impersonation token, to downstream services.
•
Forgetting to log agent actions before they execute. Audit trails must record intent and outcome separately. Log the action, execute it, then capture success or failure. If you only log success, failures become unobservable and unrecoverable.
•
Setting SSO required without verifying member login paths first. Enabling SAML_REQUIRED at the organization level locks out members who bypass SSO. Test the configuration in a staging organization and verify all agents and users can authenticate before rolling to production.
•
Treating agent sessions as indefinite. Sessions have expiration. Store session JWTs with their issue time and implement refresh logic. Expired sessions will silently fail downstream, breaking agent workflows without triggering recovery handlers.

Ready to ship secure, auditable agent workflows? Get started with Stytch and embed impersonation authentication, SSO enforcement, and audit logging into your production agents today.

Documentation references

The code examples in this tutorial are grounded in the following docs pages:

Stytch