The New AI Risk Equation: Generated Threats, Exposed Data & Autonomous Agents

AI is creating new security challenges across multiple fronts—from AI-generated threats and data
exposure to the risks introduced by autonomous agents. Yet many organizations continue to address these
issues separately, creating gaps in visibility, governance, and control. Securing AI requires a broader
approach that considers how threats, data access, and agent behavior intersect, as well as the role of
intent in understanding and managing risk across each layer. This session will examine the evolving AI
security landscape and the principles organizations can use to adopt AI confidently while maintaining
security and trust.​


Attendees will learn:​

Why siloed approaches create gaps in protection​

Principles for securing AI across threats, data, and agents​

How to enable AI innovation without increasing risk