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
In this learning path, you learn how to:
Understand AI workload risks and how Microsoft Defender for Cloud identifies and protects AI assets
Enable the AI Workloads plan and use Cloud Security Posture Management (CSPM) to discover and remediate misconfigurations
Use Cloud Workload Protection (CWP) to detect runtime threats targeting AI components
Investigate AI security alerts in Microsoft Defender XDR
Configure and manage guardrails in Microsoft Foundry to prevent unsafe or policy-violating model behavior
Learn More:- https://learn.microsoft.com/en-us/training/courses/sc-5009