Course Overview:

This course equips learners with the knowledge to secure AI workloads in Azure using Microsoft Defender for Cloud and Microsoft Entra. It covers AI services, risks, governance, and built-in protections, along with enabling AI workload protection, monitoring security posture, and detecting threats. You will explore guardrails in Microsoft Foundry, including content safety controls, blocklists, and configuration strategies. The course also focuses on securing environments through identity and access management, key vault protection, network isolation, and diagnostic logging, ensuring end-to-end AI security, compliance, and operational resilience across modern cloud-based AI solutions. 

After Completing course, participants will be able to:

  • 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

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Key Features of SC-5009

  • Hands-on Experience: 50% to 60% of the training focuses on practical lab sessions to enhance critical thinking and application of concepts. 

  • Dynamic Learning Approach: The program combines virtual and in-person classes, designed to foster problem-solving through interactive, real-time scenarios. 

  • Expert-Led Instruction: Delivered by Microsoft-certified trainers who provide mentorship, ensuring competency development through structured learning. 

  • Real-World Simulations: Participants engage with realistic use cases that mirror the challenges faced in professional environments, ensuring relevant skill development.

  • Integrated Learning Platforms: Access to the Learning Management System (LMS) offering ongoing support and tailored study resources. 

  • Comprehensive Study Materials: Learners receive extensive materials that cover all aspects of exam preparation, from foundational knowledge to advanced topics. 

  • Curriculum Aligned with Industry Standards: As a Microsoft Learning Partner, we provide a syllabus designed to meet the latest industry requirements and best practices.

Who Should Attend

  • Security Engineer
  • AI Engineer
  • Developer

Prerequisites of SC-5009

  • Experience managing Azure subscriptions, workloads, and Defender for Cloud plans 
  • Familiarity with Microsoft Foundry and how AI workloads are deployed in Azure 
  • Understanding of basic cloud security principles, including posture management, access control, and incident investigation

Why choose CloudThat as your training partner ?

  • Expert Cloud Security Instructors – Learn from Microsoft‑certified trainers with deep expertise in Defender for Cloud, CNAPP, AI workload security, and Azure security architecture. 
  • End‑to‑End CNAPP & AI Security Coverage – Comprehensive coverage of Microsoft Defender for Cloud, including CSPM, CWP, attack path analysis, and AI workload protection with practical demonstrations. 
  • Hands‑On Simulated Labs – Gain real‑world experience securing AI workloads, protecting Azure resources, tracing attack paths, and investigating threats using Defender XDR and MDC insights. 
  • Flexible Learning Delivery Models – Choose from virtual instructor‑led training, classroom sessions, corporate workshops, or blended learning formats to suit individual and enterprise needs. 
  • Proven Global Training Excellence – Trusted by thousands of professionals worldwide, CloudThat delivers impactful cloud and security training aligned with Microsoft best practices and industry demands. 

Course modules of SC-5009 Download Course Outline

  • 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

  • Enable the AI workloads plan
  • Review insights in the Data and AI security dashboard
  • Assess and improve Ai security posture with Cloud security posture Management
  • Detect Ai threats at runtime with Cloud Workload Protection
  • Investigate AI security alerts with prompt evidence in Microsoft Defender XDR

  • 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

  • Control access to Microsoft Foundry with Microsoft Entra ID
  • Manage access within Microsoft Foundry projects
  • Secure Microsoft Foundry secrets with Aure Key Vault
  • Isolate networks with managed virtual network and private link
  • Enable diagnostic logging in Microsoft Foundry

Certification details of SC-5009

    • Microsoft Certified (Applied Skills Focus): The SC‑5009 course is designed to help security professionals secure AI workloads in Azure using Microsoft Defender for Cloud and Microsoft Entra. Through hands‑on labs and expert‑led instruction, learners gain practical experience in protecting AI services, managing posture, and enforcing security guardrails.
    • SC‑5009 Assessment Readiness: This course validates your ability to enable and configure Defender for Cloud AI workload protection, use CSPM and CWP to identify risks, investigate AI‑related security alerts, and implement governance controls across Azure AI environments.
    • Certification Benefits: Completing SC‑5009 strengthens your expertise in AI security, CNAPP, cloud posture management, and threat detection—positioning you as a skilled professional capable of securing modern, AI‑driven cloud architectures.

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Course ID: 30340

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

It teaches how to secure AI workloads in Azure using Microsoft Defender for Cloud and Microsoft Entra.

Security Engineers, AI Engineers, Developers, and Cloud Security professionals.

Basic Azure knowledge and familiarity with cloud security concepts

AI workload protection, CSPM, CWP, attack path analysis, and security alert investigation.

Yes, with real‑world labs focused on securing AI and Azure resources

It aligns with Microsoft Applied Skills for securing AI workloads in Azure.

SC‑5009 focuses specifically on AI workload security and CNAPP capabilities.

Cloud Security Engineer, AI Security Specialist, and Azure Security Architect.

AI and cloud security roles typically offer competitive, high‑demand packages.

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