An AI inventory
Bring supported cloud inventory and registered models, agents and MCP servers into view. Connect technical assets to business products.
AI Governance
Make AI governance
an operating practice.
Connect AI inventory to business ownership, controls, review workflows and technical evidence. Give reviewers a clearer view of how AI is governed.
From control to evidenceGoverned
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01
InventoryDiscover and register supported AI assets
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02
Assign ownershipBusiness products, owners and labels
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03
Apply controlsPolicies, reviews and approvals
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04
Collect evidenceSnapshots, decisions and request logs
Identity · Policy · EvidenceWorkflow illustration
Accountability across the lifecycle
A control needs an owner.
An owner needs evidence.
Controls with context
Map controls to the relevant assets, labels and policies. Set a review cadence and capture review snapshots.
Governed change
Use approval workflows for material changes and retain administrative audit records alongside request-level evidence.
Connected governance
From business obligation
to technical evidence.
Know what you are governing
Connect configured inventory and registries to business ownership. Review discovered Azure AI Foundry agents alongside registered models and tools, with labels that give each asset a business context.
Make accountability explicit
Assign business-product ownership and use labels to define which assets fall within a control’s scope.
Review controls over time
Set monthly, quarterly, annual or custom review cadences. Retain review snapshots and follow the relevant approval workflow.
Connect policy to runtime
Reference the policies that implement a control and inspect gateway request records for routed traffic. Administrative audit and request logs answer different review questions.
Framework-aware, evidence-led
Support your compliance work.
Use framework mappings as a starting point for your own risk assessment, controls and evidence process.
EU AI ActNIST AI RMFISO/IEC 42001DORAInternal controls
Framework mappings and platform evidence support governance work. They do not constitute a certification or guarantee of regulatory compliance.
Questions, answered
A clearer path to adoption.
Does inventory discovery cover every AI tool automatically?
Coverage depends on the connectors, permissions and registered assets in your deployment. The gateway can enforce controls on traffic routed through it; it does not automatically intercept every AI interaction in the organization.
Azure AI Foundry agent discovery and governance are available today. Snowflake, Atlassian and Salesforce integrations are planned for future releases. Explore the agent integration roadmap.
Is AI Warden certified against these frameworks?
The framework names describe governance mapping and review use cases. No certification is claimed on this page. Review contractual, deployment and assurance requirements with our team.
See AI Warden in action
Make your next AI rollout a governed one.
Bring your models, tools and security requirements. See how AI Warden puts them under one control plane.