architecture

A practical guide to locking down Azure AI Foundry with private endpoints, DNS, managed networks, and data exfiltration controls.

A catalog of enterprise identity patterns for GenAI, including workload identities, on behalf of flow, agent identity separation, federated CI/CD, and cross tenant scenarios.

A practical walkthrough for designing secure retrieval augmented generation with Azure AI Foundry, Azure AI Search, managed identities, RBAC, and private networking.

Enterprise AI success depends less on choosing the perfect model and more on building a security posture that protects identity, data, networks, and operations.