Build Agent Architecture using AI Landing Zones
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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