Access reviews
Review what your AI agents can do — on a schedule.
Access reviews are routine for people and systems. Use this template to run the same review for AI agent capabilities, and keep loadouts within policy.
Why this matters
AI agents accumulate tools and permissions over time. Without a regular review, loadouts drift away from what was approved.
A quarterly review keeps capabilities aligned to need, and produces evidence at the same time.
Bakara provides the inventory, review queue, and exportable record to run it.
The review
Five steps, run each quarter.
Inventory
Confirm what exists:
- Which AI agents and loadouts are active?
- Which skills, tools, and permissions does each have?
- Who owns each one?
Compare to policy
Find the gaps:
- Which capabilities are outside the approved loadout?
- Which high-risk skills lack a clear owner or approval?
- Which exceptions have expired?
Decide
For each gap:
- Approve, restrict, or remove the capability.
- Re-confirm or revoke exceptions.
- Record the rationale.
Act
Apply changes:
- Update loadouts to match decisions.
- Block or expire what should not remain.
- Notify owners of changes.
Evidence
Close the loop:
- Export the review record.
- Capture who reviewed and approved.
- Schedule the next review.
Make AI access reviews routine.
Bakara helps security teams run scheduled AI agent access reviews and keep a clean evidence trail.
Bakara supports AI governance, security operations, and audit-readiness workflows. Regulatory obligations vary by organization, jurisdiction, use case, and implementation. This material is not legal advice.