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

• 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 how to secure identities used by AI workloads in Azure.
• Understand workload identity architecture, configure access to Azure resources, apply Conditional Access policies, and investigate identity risk by using Microsoft Entra.

Module 1: Protect Microsoft Foundry solutions by using Microsoft Defender for Cloud
 

This course is intended for professionals responsible for securing and operating AI workloads in the cloud. The audience includes cloud security engineers, platform engineers, and application teams working with AI services who need to understand how workload protection, security posture, and identity controls apply to AI environments.

Familiarity with Azure, cloud-native security concepts, and basic identity and access principles is recommended.

Microsoft Applied Skills: Secure AI Solutions in the Cloud
 
Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
 
To earn this Microsoft Applied Skills credential, learners demonstrate the ability to secure AI solutions in the cloud. Candidates for this credential should have a solid understanding of working with Microsoft Defender for Cloud, and Microsoft Foundry.
 
They should also have experience with the Azure portal, and be familiar with security and AI concepts in Azure.
 

Evaluated in this assessment