AI is fundamentally reshaping what data risk looks like. Data moves quickly — perhaps faster than ever before — and traditional security approaches may move too slow to both detect and stop your next incident. Ryan Windham will share why a new, adaptive model for data security is required for today’s generative tools, agentic AI and system integrations.

Time-to-enforcement must move as fast as the risk itself. Modern data security requires creating a new policy or tuning an old one in seconds so that the new AI app employees are using doesn’t put your data in harm’s way, ensuring consistent protection across the organization. Salah Nassar tours the new features and functionalities designed to help organizations overcome their most persistent AI data risks to deliver real-time visibility and control across your environments.

University networks face unique challenges that make detecting threats and acting on them quickly a difficult task. Brian Johnson shares lessons from supporting AI technologies for a large, distributed organization and actionable steps to manage risk in practice while balancing protection, usability and innovation.

The traditional handling of data security won’t serve your organization well going forward, with the scope of data that needs protection and the types of data risk that need addressing having changed and evolved. Heidi Shey provides an independent view on emerging AI data risk trends, how the data security landscape is changing and what security leaders should prioritize next.