Agents that operate inside the guardrails humans already have
Every agent is bound to a role with a declared scope. No agent can see or do anything its user couldn't — and every attempt is logged.
The scariest failure mode for enterprise AI is an agent doing something the user could never have done themselves. Role-based governance forecloses that class of failure by binding agent identity to human identity and denying everything outside the declared scope.
How scope stays tight
- 01
Identity binding
Every agent invocation carries the acting user's identity. Permission checks flow from the user, not from a service account.
- 02
Task-scoped permissions
An agent built for refunds can't read HR records, even if the underlying user has broader access. Permissions are task-minimized.
- 03
Continuous audit
Permission usage is logged and reviewed. Unused grants are flagged for removal — least privilege that actually stays least.
Governance primitives
Role catalog
A shared catalog of roles with declared scopes, reviewed quarterly and inherited by every new agent.
Policy-as-code
Guardrails are expressed as code, versioned in git, and applied by the orchestrator at every tool call.
Break-glass access
Emergency elevation requires explicit approval, is time-boxed, and generates a dedicated audit record.
Agent identity
Agents are first-class principals in your IdP, with their own lifecycle, not shared service accounts.