Secure AI, end to end.
with Microsoft technologies
Practical scenarios, capability mappings, and guidance to secure AI end to end across your estate — from identity and data to infrastructure and agents.
One connected knowledge graph
Every page here is a node in one connected graph. Start from a challenge you face, a product you already own, or a control you need — and follow the links to everything related.
Latest updates
See all updates →- Establish a Central Azure AI Governance Hub Operate Azure API Management and Azure API Center as shared governance services, then onboard secure AI workloads through explicit publication, identity, network, and telemetry boundaries.
- Establish Shared AI Gateway and Asset Governance Operate Azure API Management and Azure API Center as shared platform services for runtime mediation, AI asset discovery, consumption controls, assessment evidence, and gateway telemetry across AI workload spokes.
- Onboard a Foundry Workload to the Governance Hub Connect a Foundry workload spoke to shared governance by registering its AI assets, publishing approved runtime endpoints through API Management, authorizing hub-to-spoke paths, and correlating gateway and workload telemetry.