Most organizations treat Azure OpenAI as just another API endpoint, but that assumption is a massive security and financial liability. Enterprise AI isn't about the model itself, it's about the perimeter you build around it to keep data safe, costs visible, and reasoning auditable. This masterclass breaks down why manual deployments fail and how to use Bicep to transform your AI infrastructure into a hardened, scalable platform.

In this video, we explore the shift from traditional landing zones to dynamic AI architectures. You will learn how to move past shadow AI and configuration drift by encoding identity, network, and reasoning controls directly into your infrastructure as code. We dive deep into the three layers of a hardened perimeter: identity, network, and reasoning.

Key topics include the implementation of managed identities to eliminate secrets, the use of private endpoints to keep traffic off the public internet, and the role of Azure AI Foundry as a unified governance boundary. We also cover essential FinOps strategies, such as token-level observability and cost attribution using API Management. By the end of this session, you will understand how to build a module library that acts as your organization's institutional DNA, ensuring every deployment is compliant by design.

Chapters

0:00 Intro: The AI Perimeter Liability
4:15 Why Traditional Landing Zones Fail with AI
9:30 The Hidden Cost of Manual AI Deployment
14:45 What Auditors Actually Look For in AI Systems
19:20 Bicep as the AI Infrastructure Control Plane
24:10 The Three Layers of a Hardened Perimeter
29:35 Modular Bicep for AI Search and Vectorization
34:10 Private Endpoints as Code for AI Traffic
38:55 Managed Identities and the Identity Perimeter
43:20 Azure Policy as a Reasoning Framework
48:15 Management Groups and the Organizational Model
53:40 Integrating Azure AI Foundry with Bicep
58:20 Policy Driven Model Governance and Safety
1:02:50 Token Level Observability as Governance
1:07:15 PHOps Integration and Cost Attribution
1:12:00 API Management as the AI Gateway
1:16:40 Orchestration and Reasoning Chains
1:19:30 Data Governance in RAG Patterns
1:21:38 Conclusion: From Liability to Asset

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