Your AI agents are acting on behalf of your customers. Who's verifying them?
AI agents are initiating payments, accessing sensitive data, and making decisions at machine speed. Your authentication layer was built for humans clicking buttons, not bots executing API calls. Authsignal adds step-up verification, delegation tracking, and audit trails at the point where agents act, on top of your existing identity stack.
Authentication at the point of agent action, not just at human login
SAFR
framework published July 2026: governance standards for AI agents acting in financial services, requiring a checkpoint between every agent decision and execution.
Digital
payment credentials and verifiable trust could reshape agentic commerce, with authentication checkpoints at every agent-initiated transaction.
Governance at the point of action, not just at login
Step-up at the point of action
When an AI agent proposes a high-risk action, Authsignal challenges the human owner with passkeys, push, or biometrics before the action executes. The agent pauses; the human verifies; the action proceeds or is blocked. No blanket trust, no post-hoc audit.
Chain of delegation tracking
Every agent action is linked back to the human who authorized it, the scope they granted, and the authentication method used. The audit trail records not just what happened, but who allowed it and under what policy. MAS SAFR alignment built in.
Scope enforcement via rules engine
Define what each agent or agent class is allowed to do in Authsignal's no-code rules engine. Set boundaries by action type, transaction amount, data sensitivity, time window, or risk score. Agents that exceed scope are blocked or escalated to human review.
Drop-in on your existing stack
Authsignal sits between your agents and your execution systems, the same architectural pattern as our human authentication layer. No new IdP, no agent-specific platform. Works with Cognito, Azure AD B2C, Auth0, Keycloak, and custom auth.
Frequently asked questions
Authsignal does not authenticate the agent as an identity (that is the IdP's job). Authsignal authenticates the human behind the agent at the point where the agent proposes a high-risk action. When an agent requests a payment, data access, or account change, Authsignal's rules engine evaluates the action against configured policies and, if required, challenges the human owner with passkeys, push, or biometrics before the action executes.
SAFR (Safeguards for Agentic Finance at Runtime, published by MAS in July 2026) proposes a governance checkpoint between every agent decision and its execution. Authsignal's rules engine and step-up authentication layer map directly to this architecture: we sit between the agent and the execution system, enforcing authorization, recording decisions, and escalating to human review when required.
Agent-to-service authentication (OAuth 2.1, MCP server tokens, API keys) is handled by your IdP or agent framework. Authsignal operates at the next layer: when the authenticated agent proposes an action that affects a customer, Authsignal evaluates whether that action should proceed, require human step-up, or be blocked, based on your configured rules and risk signals.
Yes. Authsignal drops in on top of your existing stack, the same pattern as all our other use cases. Your IdP manages human and machine identities. Your agent framework manages agent sessions. Authsignal adds the governance checkpoint where agents act on customer-facing systems.