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SC-5009Microsoft · authorised training

Secure AI solutions in the cloud using Microsoft Defender for Cloud and Microsoft Entra

This training explains how to secure AI workloads in the cloud by protecting Microsoft Foundry environments and applying identity and access controls with Microsoft Entra. Participants learn how to discover AI resources, assess their security posture, and protect against threats using Microsoft Defender for Cloud. The course combines workload protection topics with identity and access management for AI services.

Duration
1 day
Level
Intermediate
Provider
Microsoft
Topic
Security / Security

Course outline

  • Learning path: Protect Microsoft Foundry solutions by using Microsoft Defender for Cloud
  • How Microsoft Defender for Cloud supports AI security and governance in Azure
  • Protecting AI workloads with Microsoft Defender for Cloud
  • Configuring and managing guardrails in Microsoft Foundry
  • Securing Microsoft Foundry environments (identity, secrets, networks, diagnostics)
  • Learning path: Secure AI identity infrastructure with Microsoft Entra
  • Identity architecture for AI workloads
  • Implementing access management for Azure resources
  • Planning, implementing, and administering Conditional Access
  • Managing Microsoft Entra Identity Protection

Skills you will gain

  • Applying security posture management and workload protection for AI services using Microsoft Defender for Cloud
  • Configuring and securing Microsoft Foundry environments using cloud-native security controls
  • Configuring and validating model guardrails (content filters, blocklists, Prompt Shields) in Microsoft Foundry
  • Managing access to Microsoft Foundry environments using Microsoft Entra ID and project roles
  • Designing identity architecture for AI workloads
  • Implementing access management for Azure resources using built-in roles, managed identities, and RBAC
  • Planning and implementing Conditional Access policies, including for AI agent identities
  • Managing identity protection with Microsoft Entra Identity Protection

Who should attend

  • Professionals responsible for securing and operating AI workloads in the cloud
  • Cloud security engineers
  • Platform engineers
  • Application teams working with AI services

Prerequisites

  • Familiarity with Azure
  • Familiarity with cloud-native security concepts
  • Basic identity and access principles