Understand the AI estate
Review configured model and tool inventories, hosted agents and discovered Azure AI Foundry agents. Give reviewers clear ownership and business context.
Governance & risk
An AI policy should
come with evidence.
Connect asset ownership, operating controls, approvals and technical records so reviews begin with context.
Governance & risk workflowGoverned
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01
ScopeInventory, business products and labels
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02
OwnAccountable product and control owners
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03
ReviewPolicies, approvals and review cadence
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04
EvidenceControl snapshots and gateway records
Identity · Policy · EvidenceWorkflow illustration
Inventory, ownership & review
Know what is approved.
Show how it is governed.
Operate the controls
Set review cadences and maintain the evidence, scope and ownership of each control.
Review material changes
Use governance and policy approval workflows with retained administrative audit records.
From policy to evidence
Make the review
a working process.
Link assets to the business
Product ownership and labels make technical inventory meaningful to risk and compliance teams.
Connect controls to policy
Reference the relevant technical policies and review their evidence, rather than maintaining an isolated control statement.
Prepare a reviewable record
Use review snapshots, approval records and available request logs to support audit preparation. Regulatory interpretation remains part of your organization’s governance process.
Explore the platform
See the controls behind the outcome.
See AI Warden in action
Make your next AI review
start with evidence.
See how inventory, owners, approvals and gateway records support one governance review. Discuss sovereignty requirements and the agent platforms your team needs to cover.