AI Security and Governance in Azure with Defender for Cloud

As organizations rapidly adopt artificial intelligence, securing AI workloads and maintaining governance within cloud environments has become a critical priority. This text-based course introduces you to protecting AI services in Azure using Defender for Cloud. You will transition from understanding basic cloud security concepts to confidently managing security posture, identifying vulnerabilities, and implementing robust governance policies for AI infrastructure. Through clear written explanations and practical scenarios, you will learn how to safeguard your intelligent applications. What you'll learn: 1. Understand fundamental AI security terminology and the cloud threat landscape. 2. Explore Defender for Cloud architecture and its role in AI posture management. 3. Configure security policies and governance frameworks for Azure AI services. 4. Apply zero-trust principles to secure AI data pipelines and model endpoints. 5. Monitor and remediate security recommendations for intelligent workloads. 6. Integrate identity and access management to prevent unauthorized AI model access. The course begins with foundational concepts in cloud security and AI governance, followed by step-by-step written explanations on configuring Defender for Cloud. You will explore practical scenarios, analyze security recommendations, and learn how to apply governance controls to real-world AI deployments. This course is designed for beginners, cloud administrators, and security enthusiasts who want to learn AI security fundamentals. No prior experience with security tools is required. Start reading today to build a secure foundation for AI workloads in the cloud.