Use case

AI agent access control

Decide exactly what each AI agent can do, enforce it on every request, and revoke access the moment you need to.

AI agent access control is about granting agents the least authority they need, enforcing it on every call, and being able to take it back instantly. Static roles and shared keys can’t keep up with autonomous agents that act on behalf of many users and other agents.

What agent access control needs

Scope. Limit an agent to specific resources and actions.
Time bounds. Grants should expire automatically.
Delegation. Capture who the agent is acting for.
Revocability. Cut off access at the source, immediately.

How MudraID enforces access

Scoped, time-bound delegation from a principal to an agent.
Per-request authorization — every call is checked against the granted scope.
Write-once governance policy to set guardrails centrally.
Instant, source-level revocation and enforcement.
Append-only, hash-chained audit trail of every decision.

Build it with MudraID

Explore the platform features, see pricing (free to test, pay in production), or talk to us. Ready to start? Request access.