Agentic AI
,
Data Governance
,
Data Loss Prevention (DLP)
AI copilots and agents now read, transform and share enterprise data at machine speed, often with inherited excessive access or own excessive permissions. The risks are familiar (data exfiltration, exposure, misuse), but the pathways are new, and traditional data security programs are struggling to keep up.
For security, risk and compliance leaders, modernization is more than a tooling upgrade. It requires cross-channel risk signals, fast detection and response, and strong data governance to keep pace with the evolving data security landscape and regulatory mandates.
This session will include discussion on how to:
- Identify where AI creates new data exposure and where current controls fall short
- Modernize in phases that fit your program’s maturity and scale as AI use expands
- Apply agentic AI to automate detections, investigations and response to AI-driven data risks
Join this session to explore practical strategies for strengthening data security in the age of AI, reducing exposure across enterprise environments and building a more proactive, scalable approach to managing emerging risks. Learn how to align security modernization with business priorities while enabling organizations to adopt AI with greater confidence and control.
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