AI is fundamentally reshaping what data risk looks like, generating and animating data to the point it’s alive. Traditional security approaches, with their static policies and assumptions on roles and access, may move too slowly to both detect and stop your next incident. Ryan Windham will share why a new model for data security that adapts to risk as it forms is required for today’s generative tools, agentic AI and system integrations.

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AI has collapsed the time between data use and data risk. Today, a security team must be able to create a new policy or tune an old one in seconds so that the new AI app employees are using doesn’t put your data in harm’s way. Naveen Palavalli and Bakshi Kohli tour the new features and functionalities of Forcepoint Data Security Cloud and explain how it helps turn self-aware data security into an actionable strategy. Learn how organizations can overcome their most persistent AI data risks and deliver real-time, continuous visibility and control at the breakneck speed modern data demands.

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Large, distributed organizations face a unique mix of AI-driven risk, legacy complexity and relentless data sprawl, often with limited time and resources to respond. Brian Johnson shares lessons from securing data across on-premises and cloud environments while supporting open access, AI adoption and institutional scale. Learn practical lessons on discovery and classification, aligning security with visibility and executing a data security strategy that can adapt as innovations and organizational demands evolve.

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Ready or not, AI agents, models and system integrations are here – which means a deeper view of data risk is now table stakes for organizations. Forrester Principal Analyst Heidi Shey reviews research findings and delivers guidance on emerging AI data risk trends. From shadow AI to custom LLMs, she will outline what security leaders should prioritize to close the gap between visibility and effective controls that protect data at rest, in use and in motion.

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As organizations move quickly to adopt AI, many are reassessing how they understand and protect their data. Eva Klein connects strategy to real-world customer experience, sharing what organizations are learning about AI-driven data risk and how visibility, control and strong partnerships help teams move forward with confidence in this next era of data security.

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