Secure AI workloads in Azure using cloud native protection and identity controls.Secure AI solutions in the cloud by configuring AI workloads, applying cloud-native protections, and reinforcing security outcomes with identity controls. Learn how AI workloads authenticate, how trust boundaries are established, and how security posture and workload protection reduce risk using Microsoft Defender for Cloud and Microsoft Foundry. Extend these protections by using Microsoft Entra to design and apply identity and access controls that explain and harden earlier security decisions. Module 1: Protect Microsoft Foundry solutions by using Microsoft Defender for CloudUnderstand how Microsoft Defender for Cloud supports AI security and governance in AzureProtect AI workloads with Microsoft Defender for CloudConfigure and manage guardrails in Microsoft FoundrySecure Microsoft Foundry environmentsModule 2:Secure AI identity infrastructure with Microsoft EntraUnderstand identity architecture for AI workloadsImplement access management for Azure resourcesPlan, implement, and administer Conditional AccessManage Microsoft Entra Identity Protection
