Threat Modeling AI Systems

This lesson introduces threat modeling as a foundational practice for securing AI systems. Learners will explore how organizations identify potential threats, adversaries, attack surfaces, vulnerabilities, and security controls throughout the AI lifecycle. The lesson examines how traditional threat modeling approaches are adapted for AI environments, including risks associated with data pipelines, machine learning models, inference services, and AI infrastructure. By understanding how attackers target AI systems, learners will be better prepared to design resilient architectures, prioritize security investments, and reduce organizational risk.