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Agentic AI and A2A Access Control

SecureAuth brings Zero Trust security to non-human identities like AI agents, autonomous workflows, and service accounts, applying the same rigor as for human users.

With Microperimeter™ authorization, short-lived proof-of-possession tokens, and policy-based controls, enterprises can contain risk, enforce least privilege, and maintain full auditability across AI-driven and application-to-application interactions.

Common challenges​

  • AI agents acting without human oversight
  • Over-privileged service accounts and static keys
  • Limited visibility into who, what, and when for agent actions
  • Compliance mandates for traceable, least-privilege access

SecureAuth capabilities​

Non-human identity lifecycle

Register and manage AI agents and service accounts as first-class identities with credential rotation and retirement policies.

Proof of possession tokens

Issue short-lived OAuth 2.1 tokens bound via DPoP or mTLS, eliminating static credentials and reducing shadow access.

Fine grained authorization

Apply PBAC and relationship-based (FGA) policies to enforce object/action-level controls and least-privilege by default.

Microperimeter™ enforcement

Evaluate every agent request in real time at the API edge, blocking unauthorized or risky actions before execution.

Adaptive risk controls

Leverage device, network, and behavioral signals to trigger just-in-time access, step-up auth, or deny actions dynamically.

Signed, immutable logs

Generate verifiable audit trails for every action, streamable to SIEM/SOAR for compliance and forensics.

DevOps and runtime integration

Use SDKs, webhooks, and policy-as-code (OPA/Rego) to embed enforcement in CI/CD pipelines and production workloads.

Cross-boundary federation

Safely authorize third-party or SaaS agents with scoped, auditable, and revocable access.

Architecture flow​

  1. Agent registration. SecureAuth enrolls AI agents as OAuth clients with minimal scopes.
  2. Token issuance. Agents request proof-of-possession tokens via OAuth 2.1 flows with DPoP or mTLS.
  3. Policy enforcement. The Microperimeter™ PDP evaluates every request for:
    • Token scope and claims
    • Contextual risk signals
    • PBAC/FGA object/action checks
  4. Audit and monitoring. The system streams immutable logs to SIEM/SOAR for visibility and compliance.

Key benefits​

✔ Eliminates static keys and over-privileged service accounts
✔ Ensures AI and A2A actions are scoped, contextual, and traceable
✔ Strengthens compliance with verifiable, signed audit logs
✔ Scales to secure both internal and third-party autonomous agents

Industries
  • Regulated AI. Organizations using AI-driven automation in regulated industries
  • SaaS platforms. Applications embedding autonomous agent workflows and automation
  • Zero Trust enterprises. Companies adopting Zero Trust for both human and non-human identities