Securing, scaling, and sustaining your data estate in Microsoft Fabric | OD816
Kim Manis explains how Microsoft Fabric supports a secure and scalable data estate, covering governance with OneLake Catalog, compliance integration with Microsoft Purview, capacity controls, and developer workflows like Terraform and the Fabric CLI, plus how these foundations enable grounded AI agents with Foundry and OneLake.
Overview
This Build 2026 session focuses on operating a Microsoft Fabric data estate with an emphasis on governance, security, and capacity management, while also showing how developers can automate and access governed data through familiar tools.
Microsoft Fabric governance with OneLake Catalog
- How Fabric helps balance a strong “data culture” (broad access and reuse) with security and governance controls.
- Tenant admin governance experience centered on OneLake Catalog.
- Copilot insights are referenced in the tenant admin experience as part of understanding and managing the environment.
Compliance and security integration with Microsoft Purview
- Integration with Microsoft Purview for broader governance and compliance alignment.
- Focus on global data security and compliance requirements, positioning Purview as the compliance/governance layer connected to Fabric.
Capacity administration: scaling and protecting workloads
- Capacity admin experience for monitoring and controlling Fabric workloads.
- Topics called out include:
- Surge protection
- Overage handling
- Real-time monitoring
Workspace administration and access controls
- Workspace-level security administration topics include:
- Conditional Access
- Outbound protection
Developer automation and admin tooling
- Developer/admin automation capabilities highlighted:
- Infrastructure as Code with Terraform
- Fabric CLI for scripting and operational workflows
- Developer access to data and governance from everyday tools is positioned as a key theme, including:
- Fabric MCP
- Agent Skills in Fabric
Data engineering workflow: trusted data discovery
- Data engineer workflow using OneLake Catalog to discover trusted and secure data.
- Emphasis on governed discovery as a prerequisite for safe reuse across teams.
Unified governance across tools and APIs
- OneLake Catalog governance is shown as available across multiple surfaces, including:
- Excel
- Teams
- APIs
AI integration: Foundry + OneLake for grounded agents
- AI integration segment connecting:
- Azure AI Foundry
- OneLake
- Building grounded AI agents on top of governed data
- The framing is that governance and security controls are foundational for safe, reliable AI experiences.