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Microsoft

Implement security for AI

Microsoft via Microsoft Learn

Overview

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  • Secure AI agent identities by applying Conditional Access policies through Microsoft Entra Agent Identity. Map authentication flows, configure CA policies scoped to agents, and control agent access and lifecycle events to reduce identity-based risk.

    After completing this module, you can:

    • Map how AI agents authenticate and identify where Conditional Access applies
    • Configure Conditional Access policies scoped to agent identities
    • Control agent access, and manage agent identity lifecycle events
  • Discover AI agents in your environment and assess the identity-based risks they present using Microsoft Defender XDR. Identify agent blast radius and analyze attack paths to understand the scope of exposure from a compromised agent identity.

    After completing this module, you're able to:

    • Discover AI agents in Microsoft Defender XDR using the AI agent inventory
    • Assess the blast radius of agent identities by examining permissions, knowledge sources, and blueprint configuration
    • Analyze attack paths that could result in unauthorized access if an agent identity is compromised
  • Enable and configure real-time runtime protection for Microsoft Copilot Studio agents using Microsoft Defender for Cloud Apps. Discover agents in your environment, enable protection through the Defender portal Security for AI settings, and verify that protection outputs flow into Microsoft Defender XDR.

    After completing this module, you can:

    • Describe the AI agent protection capabilities available in Microsoft Defender for Cloud Apps
    • Enable real-time protection for Copilot Studio agents in the Microsoft Defender portal
    • Verify that agent protection outputs appear in the Microsoft Defender XDR inventory, alerts, and Advanced Hunting
  • Secure AI model traffic in Microsoft Foundry by deploying and configuring AI Gateway. Examine AI Gateway architecture, create and configure a gateway instance, and apply access controls and monitoring to protect AI workloads.

    After completing this module, you can:

    • Examine the AI Gateway architecture and explain how it secures AI model traffic
    • Create and configure an AI Gateway instance in Microsoft Foundry
    • Apply access controls and monitoring to secure and audit AI Gateway usage
  • Safeguard your AI workloads with Microsoft Foundry guardrails. Discover how to configure and validate content filters, blocklists, and Prompt Shields to protect sensitive data, ensure responsible model behavior, and continuously improve AI safety.

    In this module, you learn to:

    • Explain how guardrails secure model interactions in Microsoft Foundry
    • Describe safety controls such as content filters, blocklists, and Prompt Shields
    • Configure and validate custom guardrails for different workload types
    • Evaluate guardrail effectiveness and refine configurations for continuous assurance
  • Learn how Microsoft Defender for Cloud extends protection to AI workloads across Azure. See how it discovers AI resources, assesses configuration risks, detects active threats, and integrates with Microsoft Defender XDR for unified investigation and response.

    In this module, you learn to:

    • Enable and configure the AI workloads plan in Microsoft Defender for Cloud
    • Review AI resource insights in the Data & AI security dashboard
    • Assess and improve AI posture with Cloud Security Posture Management (CSPM)
    • Detect and respond to runtime threats using Cloud Workload Protection (CWP)
    • Investigate AI-related alerts and incidents in Microsoft Defender XDR
  • Enable and configure the Defender for AI Services Cloud Workload Protection plan in Microsoft Defender for Cloud. The plan helps to detect threats targeting Azure AI services workloads and monitor AI security posture.

    By the end of this module, you're able to:

    • Enable the Defender for AI Services plan and configure its components for an Azure subscription
    • Investigate AI threat protection alerts in the Defender portal
    • Monitor AI security posture using the Data and AI security dashboard in Microsoft Defender for Cloud
  • Govern AI agents in your Microsoft 365 environment using Microsoft Agent 365. Enable and navigate the Agent 365 management interface, register agents and apply access controls, and monitor agent activity to enforce organizational governance policies.

    After completing this module, you can:

    • Enable and navigate the Microsoft Agent 365 management interface in the Microsoft 365 admin center
    • Register agents and apply access controls to enforce organizational policies
    • Monitor agent activity and enforce governance controls using Microsoft Agent 365

Syllabus

  • Secure access for Microsoft Entra Agent Identity
    • Introduction
    • Map authentication flows and Conditional Access scope
    • Configure Conditional Access policies for agents
    • Control agent access and lifecycle
    • Knowledge check
    • Summary
  • Analyze AI identity risks using Microsoft Defender XDR
    • Introduction
    • Discover AI agents in the Microsoft Defender portal
    • Assess blast radius and attack paths
    • Knowledge check
    • Summary
  • Enable real-time protection for Copilot Studio agents
    • Introduction
    • Explore Copilot Studio AI agent protection
    • Enable protection in Microsoft Defender
    • Review AI agent protection outputs
    • Knowledge check
    • Summary
  • Configure AI Gateway security in Microsoft Foundry
    • Introduction
    • Examine AI Gateway architecture
    • Create and configure AI Gateway
    • Secure and monitor AI Gateway access
    • Knowledge check
    • Summary
  • Configure and manage guardrails in Microsoft Foundry
    • Introduction
    • 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
    • Summary
  • Protect AI workloads with Microsoft Defender for Cloud
    • Introduction
    • 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
    • Summary
  • Enable Defender for AI Services workload protection in Microsoft Defender for Cloud
    • Introduction
    • Enable and configure the Defender for AI Services plan
    • Monitor AI security with the Data and AI dashboard
    • Knowledge check
    • Summary
  • Manage agents using Microsoft Agent 365
    • Introduction
    • Enable and navigate Microsoft Agent 365
    • Register agents and apply access controls
    • Monitor agent activity and enforce governance
    • Knowledge check
    • Summary

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