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Agent governance

AI agent governance starts with authorized access.

Decide which records an agent can read, which systems it can change, and when a person must approve an action. Document its identity, owner, and access-review process.

The authorization path

Know what it can do. Know who approved it.

Trace an agent’s task through identity, tool permissions, and activity records. Use the interactive model to explore what to configure, what can fail, and what evidence to retain.

Discuss an agent-governance engagement
CONTROL BY DESIGN
BUSINESS INTENT

A useful agent.
A deliberate boundary.

Select a layer to explore the control.

Who is acting, and on whose authority?

Distinguish delegated user access from an application or agent identity. Assign an accountable owner and a retirement path.

Failure to prevent
An owner leaves, but the agent keeps its access.
Evidence to retain
Identity inventory, owner record, and revocation test.
Explore the boundary. Then test it.

An operating record

Make the boundary inspectable.

01

Accountability

Record the business owner, sponsor, technical maintainer, and reason the agent exists.

02

Authorization

Define its identity, tool permissions, data reach, approvals, and denied actions.

03

Evidence

Record activity, exceptions, reviews, ownership changes, and retirement decisions.

Control follows the full lifecycle
  1. 01Request
  2. 02Approve
  3. 03Provision
  4. 04Operate
  5. 05Review
  6. 06Transfer
  7. 07Retire

A practical starting point

Discuss your AI deployment
and access requirements.

Tell us which AI tools you use and what your team needs to resolve. We can discuss assessment, implementation, or remediation scope.

Discuss Your AI Project