Description: 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. Learning outcomes:
Apply security posture management and workload protection for AI services using Microsoft Defender for Cloud
Configure and secure Microsoft Foundry environments using cloud-native security controls
Design and apply identity and access controls for AI workloads using Microsoft Entra
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