Securing Foundry Workloads with Defender for Cloud

As organizations deploy advanced AI and cloud workloads, securing these environments from runtime threats and policy violations is more critical than ever. This course provides a clear, step-by-step path to safeguarding your cloud-based systems using industry-standard security tools. You will transition from understanding basic security concepts to actively managing cloud security posture, identifying vulnerabilities in AI workloads, and setting up protective guardrails. Through structured text lessons and practical scenarios, you will build the confidence to secure cloud deployments against modern threats. What you'll learn: - Understand foundational cloud security principles and the role of Defender for Cloud. - Discover and inventory AI resources across your Azure cloud environment. - Assess cloud security posture to identify and remediate vulnerabilities. - Protect runtime environments from active threats and unauthorized access. - Configure model guardrails to prevent unsafe or policy-violating content. - Apply Zero Trust security concepts to modern cloud and AI architectures. The course begins with core security definitions and posture management concepts before guiding you through resource discovery, threat protection, and content safety configurations. You will learn entirely through written explanations, conceptual breakdowns, and practical security scenarios. This course is designed for beginner cloud administrators, security enthusiasts, and IT professionals looking to secure modern AI workloads. No prior cloud security experience is required. Start reading today to build a safer, more resilient cloud environment.