AI adoption is accelerating across the enterprise. Employees are using AI assistants, teams are deploying AI-powered applications, and AI agents are gaining access to enterprise data at an unprecedented scale. As AI operates at machine speed, security teams face a new challenge: understanding exactly what data AI can access, what it can do with that access, and where sensitive data may be exposed.
Many organizations still lack visibility into where sensitive data resides, who can access it, and how AI systems and agents interact with it. Without that visibility, AI initiatives can introduce unseen risks that are difficult to govern and control.
Join us to learn how security leaders can build a foundation for secure AI adoption through continuous visibility into sensitive data, access paths, permissions, and exposure risks. We'll discuss practical approaches to reducing data risk while enabling the business to move faster with AI.
Who should attend:
-
CISOs and Deputy CISOs driving AI initiatives and managing risk
-
Chief Data Officers and data governance leaders responsible for enterprise data
-
Data security, DSPM, and privacy teams protecting sensitive information
-
Data platform, engineering, and architecture teams supporting AI initiatives
-
Risk, compliance, and AI governance leaders focused on reducing data exposure and ensuring responsible AI use
Key takeaways:
-
A practical framework for assessing AI data readiness before deployment—not after
-
How to see what data AI can access, what it can do with that access, and what sensitive data sits in its path
-
Identify hidden data exposure risks created by AI applications and agents
-
How to build a continuous governance foundation that keeps pace with AI adoption
-
Understand how continuous visibility into data and access helps reduce AI risk
-
Real-world lessons from organizations enabling AI innovation while reducing data risk
Attendees are eligible for 1 CPE credit.
Presenters to be announced soon.
Generously supported by:
