Bridgeway International

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

Course Information

Need Group Training

Course 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

Course Outline

1 – Understand how Microsoft Defender for Cloud supports AI security and governance in Azure

  • Understand AI services in Azure
  • Understand AI security risks in Azure
  • AI guardrails and protections in Azure
  • How Azure security and governance tools support AI workloads
  • Module assessment

2 – Protect AI workloads with Microsoft Defender for Cloud

  • Enable the AI workloads plan
  • Review insights in the Data & AI security dashboard
  • Assess and improve AI security posture with Cloud Security Posture Management (CSPM)
  • Detect AI threats at runtime with Cloud Workload Protection (CWP)
  • Investigate AI security alerts with prompt evidence in Microsoft Defender XDR
  • Module assessment

3 – Configure and manage guardrails in Microsoft Foundry

  • Understand guardrails and Microsoft Content Safety
  • Understand safety controls in Microsoft Foundry
  • Try out built-in guardrails
  • Create and manage blocklists in Microsoft Foundry
  • Configure and apply guardrails in Microsoft Foundry
  • Choose and refine the right guardrails for your AI workloads
  • Module assessment

4 – Secure Microsoft Foundry environments

  • Control access to Microsoft Foundry with Microsoft Entra ID
  • Manage access within Microsoft Foundry projects
  • Secure Microsoft Foundry secrets with Azure Key Vault (preview)
  • Isolate networks with managed virtual network and Private Link
  • Enable diagnostic logging in Microsoft Foundry
  • Module assessment