AI Identity Risk Analysis Using Defender XDR

As AI technologies become increasingly integrated into modern systems, new and complex identity-based security challenges emerge. Understanding and mitigating the risks associated with AI agent identities is crucial for maintaining a robust and secure operational environment. This course will equip you with the foundational knowledge and practical approaches to effectively identify, assess, and understand potential attack paths and blast radius associated with AI identities using Defender XDR. What you'll learn: * Understand the core concepts of AI identities and their unique security implications. * Learn how Defender XDR helps in discovering and monitoring AI agents in your environment. * Apply techniques to identify identity-based risks, potential attack paths, and the blast radius of AI agents. * Practice assessing AI identity vulnerabilities and implementing least privilege access for AI workloads. * Analyze common threats to AI identities and foundational strategies for their mitigation using Defender XDR insights. * Grasp the principles of secure AI identity lifecycle management in modern deployments. The course begins with foundational concepts of AI identities and security, then guides you through practical analysis techniques using Defender XDR to identify risks and formulate mitigation strategies. This course is designed for beginners in cybersecurity or IT professionals looking to understand and secure AI identities, with no prior experience in Defender XDR or AI security required. Start your journey to securing AI identities in your organization today.