Build enterprise-ready AI agents that scale without sacrificing security or control using Microsoft Azure. Establish a shared Governance Hub to centralize model access, MCP catalogs, and policy enforcement, then give every agent a traceable identity, runtime protection, and data governance through Agent 365. Layer in Microsoft Fabric's Ontologies so your agents reason over real business context, not just raw data. Choose your runtime — no-code, hosted container, or custom — and deploy a production-grade environment in minutes using the AI Landing Zone accelerator.

Matt McSpirit, Microsoft Azure Expert, joins Jeremy Chapman, Microsoft 365 Director, to share how to architect, govern, and scale a full agent mesh across the Microsoft stack.

► QUICK LINKS:

00:00 - Build secure AI agents

01:07 - Accelerate development, reduce risks

02:51 - Model Gateway + MCP Gateway

03:24 - Agent 365 Unified Control Plane

03:56 - Azure Policy + Azure Monitor

04:27 - Intelligent data platform

05:37 - OneLake in Microsoft Fabric

06:39 - Microsoft Purview data governance

07:13 - Fabric IQ with Ontologies

07:51 - Landing Zones

09:23 - Three Hosting Runtimes

11:06 - AI Landing Zone Accelerator

13:16 - Scalability

14:16 - Wrap up

► Link References

Check out https://aka.ms/AIArchitecture

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