SC-5009: Secure AI solutions in the cloud using Microsoft Defender for Cloud and Microsoft Entra [Cloud Slice Provided]

This course uses Azure Cloud Slice! Azure Cloud Slice eliminates the need for pass management and allows users to get straight to learning. No student Azure Passes are required. Each lab has a maximum of 10 launches.

To learn more about Azure Cloud Slice labs, visit our MOC Labs and Azure Access webpage.

Instructors: Please review the "Instructor Delivery Guide" course activity prior to class delivery. This activity includes important instructor and user information, as well as delivery best practices.

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