As cybersecurity professionals, we grapple with the dual emotions of concern and encouragement regarding AI and cybersecurity. In this session, we’ll cut through the hype and delve into practical realities. Terminology will be demystified and real-world scenarios used to shed light on potential pitfalls, limitations, and how security teams are using AI today to augment their teams. We will explore responsible AI integration, threat modeling, auditing, and testing. We will share actionable insights towards wielding AI as a powerful ally.

Learning Objectives:

• Understand the basics of AI and ML and terminology like narrow AI, general AI, GenAI, and LLMs
• A comprehensive understanding of the ways AI and ML can fail due to attacks and design issues
• The importance of getting started with an AI and ML security program to ensure that customer and company data and workflows are resilient and effective