Secure AI Solutions in the Cloud Using Microsoft Defender for Cloud and Microsoft Entra (SC-5009)

Duration: 1 day
Language: English
Level: Intermediate

As organizations adopt AI-powered applications and services, securing AI workloads becomes a critical component of cloud security. This course teaches security and cloud professionals how Microsoft security solutions help protect AI workloads running in Azure.

Students learn how Microsoft Defender for Cloud supports AI security and governance, how to secure Microsoft Foundry environments, and how to implement identity and access controls using Microsoft Entra ID. The course also covers AI guardrails, Azure role-based access control (RBAC), Conditional Access, Identity Protection, and security monitoring capabilities that help organizations manage and secure AI solutions.

Through hands-on exercises, students gain practical experience configuring security controls and managing access for AI workloads in Azure.

Secure AI Cloud Solutions Training Delivery Methods

In-Person
Online
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Secure AI Cloud Solutions Training Information

What You'll Learn

After completing this course, you will be able to:
• Describe AI security risks and governance considerations in Azure
• Use Microsoft Defender for Cloud to assess and protect AI workloads
• Configure AI guardrails and content safety controls in Microsoft Foundry
• Secure Microsoft Foundry environments using Microsoft Entra ID, Azure Key Vault, and network isolation controls
• Implement Azure RBAC and managed identities
• Plan and administer Conditional Access policies
• Manage identity risk using Microsoft Entra Identity Protection
• Monitor and investigate AI security alerts using Microsoft security tools

Prerequisites

Students should have:
• A basic understanding of Azure services and cloud security concepts
• Familiarity with Microsoft Entra ID and Azure role-based access control (RBAC)
• Experience working with Microsoft security technologies is helpful but not required

Secure AI Cloud Solutions Training Outline

Learning Objectives

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

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

Configure and Manage Guardrails in Microsoft Foundry

Understand guardrails and Microsoft Content Safety
Understand safety controls in Microsoft Foundry
Try built-in guardrails
Create and manage blocklists
Configure and apply guardrails
Select and refine guardrails for AI workloads

Secure Microsoft Foundry Environments

Control access using Microsoft Entra ID
Manage access within Microsoft Foundry projects
Secure secrets with Azure Key Vault
Isolate networks using managed virtual networks and Private Link
Enable diagnostic logging

Understand Identity Architecture for AI Workloads

Identity as the control layer for AI solutions
Management plane and data plane access
Authentication flows for AI endpoints
Human and workload identities
Role assignments and scope management
Common identity misconfigurations

Implement Access Management for Azure Resources

Assign Azure roles
Configure custom Azure roles
Create and configure managed identities
Access Azure resources using managed identities
Analyze Azure role permissions
Configure Azure Key Vault RBAC policies
Retrieve objects from Azure Key Vault

Plan, Implement, and Administer Conditional Access

Plan security defaults
Design Conditional Access policies
Implement Conditional Access controls and assignments
Test and troubleshoot Conditional Access policies
Implement application controls
Configure session management and continuous access evaluation
Use the Microsoft Entra Conditional Access Optimization Agent

Manage Microsoft Entra Identity Protection

Review identity protection fundamentals
Implement and manage user risk policies
Configure sign-in risk policies
Configure multifactor authentication registration policies
Monitor, investigate, and remediate risky users
Secure workload identities
Explore Microsoft Defender for Identity
Explore the Identity Risk Management Agent

Commercial Pricing

10 455 kr

1-day instructor-led training course
Microsoft Official Course content
Hands-on Training
One-on-one after-course instructor coaching included

Would you like to take this course as a team?

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juni 16 15:00 - 22:30 CEST

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juli 28 15:00 - 22:30 CEST

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sep. 7 15:00 - 22:30 CEST

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Secure AI Cloud Solutions Training FAQs

This course is intended for security professionals, cloud administrators, architects, and identity specialists responsible for securing AI solutions and workloads in Azure.

Yes. Unlike traditional cloud security courses, this training specifically addresses the unique security, governance, identity, and compliance challenges introduced by AI applications and services.

The course covers Microsoft Defender for Cloud, Microsoft Defender XDR, Microsoft Foundry, Microsoft Entra ID, Azure Key Vault, Conditional Access, Identity Protection, and related Azure security services.

Yes. Students participate in practical exercises that reinforce key concepts, including securing AI workloads, configuring guardrails, implementing identity controls, and investigating security incidents.

No. While familiarity with Azure and cloud security concepts is recommended, prior experience building AI solutions is not required.

Secure AI Solutions in the Cloud Using Microsoft Defender for Cloud and Microsoft Entra (SC-5009)

Secure AI Cloud Solutions Training Delivery Methods

Secure AI Cloud Solutions Training Information

Secure AI Cloud Solutions Training Outline

Learning Objectives

Live Instructor 10 455 kr

Secure AI Cloud Solutions Training FAQs

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