Security and Privacy in AI

Security and Privacy in AI is a comprehensive two-day course designed to equip participants with essential knowledge and skills to navigate the complex landscape of artificial intelligence security and privacy. This course addresses the growing need for professionals who can understand and mitigate the risks associated with AI systems while maximizing their potential benefits. Day one introduces key government and industry guidelines, including the NIST Artificial Intelligence Risk Management Framework, which provides a structured approach to identifying and managing AI-related risks. Participants also examine privacy considerations specific to AI systems and gain insights into the ISO/IEC CD 27090 guidance, which outlines security threats and potential failures in AI implementations. The second day focuses on practical aspects, covering attacks and defenses for Large Language Models (LLMs), AI observability techniques, secure coding practices tailored for AI development, and access control mechanisms for AI systems. By the end of the course, attendees will have developed a comprehensive understanding of AI security and privacy issues, enabling them to reason about potential risks and implement effective mitigation strategies in their organizations.

Upon completing this course, participants will be able to: