This course introduces the intersection of artificial intelligence and cybersecurity. You learn about common AI attack techniques such as adversarial inputs and model poisoning, and the defensive strategies organizations use to protect AI systems and the data they depend on.
Topics include AI threat modeling, adversarial machine learning, data integrity and provenance, model security best practices, and the governance frameworks emerging around responsible AI deployment. The course suits security professionals, IT risk managers, and AI practitioners who need to understand the security implications of deploying AI in their organizations.
By the end of the course, you will be able to identify AI security risks and apply foundational security controls to protect AI systems and data.
