SC-5009: Secure AI Solutions with Defender for Cloud

The SC-5009: Secure AI Solutions in the Cloud Using Microsoft Defender for Cloud and Microsoft Entra course teaches security professionals how to protect AI workloads using Microsoft Defender for Cloud and Microsoft Entra. This 1-day hands-on course covers AI workload protection with Defender for Cloud, identity management for AI applications with Entra, and responsible AI security practices for securing cloud-hosted AI solutions. Esamatic srl, a Microsoft Learning Partner in Milan, delivers this course with Microsoft Certified Trainers.

• Defender for Cloud AI Protection: threat detection for AI services, security posture management, and AI workload hardening
• Entra for AI Identity: managed identities, workload identity federation, API permissions, and conditional access for AI apps
• AI Security Posture: security benchmarks for AI, vulnerability assessment, and compliance monitoring for AI deployments
• Responsible AI Security: data protection for training data, model access controls, and ethical AI governance frameworks
• Threat Protection: detecting adversarial attacks on AI, prompt injection defense, and AI-specific threat intelligence

Course Overview: SC-5009 Secure AI Solutions in the Cloud

As organizations deploy AI solutions at scale, securing these workloads requires specialized knowledge of cloud security and identity management. The SC-5009 course provides hands-on training with Microsoft Defender for Cloud for AI workload protection and Microsoft Entra for AI identity management — covering threat detection, security posture, identity governance, and responsible AI security practices for cloud-hosted AI applications.

Learning Objectives

1. Protect AI workloads with Defender for Cloud — configure threat detection for AI services, manage security posture, and harden AI deployments against attacks
2. Secure AI identities with Microsoft Entra — implement managed identities, workload identity federation, and conditional access policies for AI applications
3. Assess and monitor AI security posture — apply security benchmarks, perform vulnerability assessments, and monitor compliance for AI workloads in the cloud
4. Implement responsible AI security practices — protect training data, control model access, defend against adversarial attacks, and apply ethical AI governance

Who Should Attend

This course is ideal for cloud security engineers, AI platform engineers, security architects, and identity administrators responsible for securing AI solutions deployed in Microsoft Azure.

Career Benefits

AI security is an emerging and rapidly growing specialization. The SC-5009 course builds expertise in securing AI workloads with Microsoft cloud security tools — skills increasingly essential for cloud security specialists, AI security engineers, and security architects in organizations adopting AI at scale.

Prerequisites

• Basic understanding of Microsoft Defender for Cloud concepts
• Familiarity with Microsoft Entra ID and identity management
• Experience with Azure cloud services and resource management
• Understanding of AI and machine learning deployment concepts

Frequently Asked Questions

What is the SC-5009 course about?

The SC-5009 teaches how to secure AI solutions in the cloud using Microsoft Defender for Cloud for threat protection and Microsoft Entra for identity management. It covers AI-specific security scenarios including adversarial attacks and responsible AI.

Do I need AI development experience?

No AI development experience is required. The course focuses on securing AI workloads from a security and identity perspective, not on building AI models. Cloud security and identity management knowledge is more relevant.

What AI services does the course cover?

The course covers security for Azure OpenAI Service, Azure AI Services, Azure Machine Learning, and custom AI applications. The principles apply to any AI workload hosted in Azure.

How does this relate to other SC courses?

The SC-5009 complements courses like SC-200 (Security Operations), SC-300 (Identity), and SC-401 (Information Protection) by focusing specifically on the unique security challenges of AI workloads in the cloud.