About This Session
As AI systems become increasingly integrated into enterprise applications, they also introduce a new and rapidly evolving attack surface. In this session, Ethan DeMott explores the emerging landscape of prompt-based attacks on large language models, including prompt extraction, prompt injection, and jailbreak techniques.
Attendees will gain a practical understanding of how attackers exploit AI systems to leak sensitive data, manipulate outputs, and bypass safety controls. The session will also walk through real-world-inspired scenarios and demonstrate how seemingly harmless prompts can be weaponized.
Beyond identifying threats, this talk focuses on actionable defenses. Ethan will cover layered protection strategies across the model, prompt, and system levels—equipping developers, engineers, and leaders with the tools needed to build more secure and trustworthy AI applications.