Threat Modeling AI

Master the essentials of securing Artificial Intelligence (AI) and Machine Learning (ML) systems through threat modeling, with practical techniques, methodologies like STRIDE, and hands-on applications using IriusRisk.

The course provides a comprehensive introduction to securing AI/ML applications. You will learn foundational knowledge on AI security, covering essential concepts and common threat vectors. The course explores structured methodologies like STRIDE for identifying and categorizing threats, and applies the 4-question framework to guide you in systematically assessing and mitigating risks in AI/ML systems.

AI/ML engineers, data scientists, security engineers and analysts, cybersecurity professionals, as well as compliance and risk managers - and anyone else who simply has an interest to learn more about securing AI and ML applications or systems.