AI Is Changing Data Risk. Can You Keep Up? 

AI is changing how organizations access and use data through copilots and AI agents—while amplifying existing data and insider risks. Traditional security approaches are no longer enough. Security teams need to understand what data is critical to business, who and what can access it, and how to adapt protection as AI changes the data and inside risk landscape.  

Join this three-part webinar series to learn how to identify sensitive data and risky access, connect identity, behavior and content signals to make better security decisions, and adopt modern, agentic protection that adapts as risk evolves. You'll leave with practical strategies to improve visibility, prioritize investigations, and protect data in the AI era.  

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Complete the form once and you'll be registered for the full series. If you cannot attend live, you will gain access to the replays and can catch it on-demand after the live broadcast.  

Organizations are expanding the use of Microsoft Copilot, ChatGPT, Claude, and AI agents to improve productivity. As AI changes how data is accessed and used, it also changes how security teams need to think about data risk.

AI doesn't just introduce new risks—it amplifies the ones you already have. Join this webinar, the first in our three-part AI Is Changing Data Risk. Can You Keep Up? series to explore why knowing what data is sensitive—and whether the right people and AI can access it—is becoming the foundation for protecting data as AI adoption expands.

In this 45-minute session, you'll learn how to:

• Identify sensitive data and where AI can expose it
• Determine risky access by users and NHIs, including agents
• Remediate access using direct, delegated or autonomous workflows

Risky user behavior and AI activity are all important signals but on their own, they rarely explain what's really happening. The challenge is knowing when seemingly unrelated activity points to a developing insider threat, data loss risk, or unsafe AI use.

Join Kasey Olbrych, Proofpoint Enterprise Security Advisor and guest speaker, Joseph Blankenship, Vice President, Research Director at Forrester Research for the second webinar in our three-part series, AI Is Changing Data Risk. Can You Keep Up?, to learn how leading organizations connect these signals to identify a developing threat and when investigation is warranted.

In this 45-minute session, you'll learn how to:

• See when isolated events tell a bigger story
• Build behavior profiles to detect risky insiders
• Design investigation workflows in partnership with HR and compliance

GUEST Speaker

Joseph Blankenship

VP, Research Director
Forrester Research

Joseph supports security and risk (S&R) professionals, helping clients develop security strategies and make informed decisions to protect against cyberattacks. As a research director for S&R, he leads the analyst team researching security leadership, the role of the CISO, infrastructure and operations, detection and response, and Forrester’s Zero Trust model of information security. His research focuses on insider threat prevention, security operations, and security management.

Understanding data risk is only valuable if it leads to better protection. As AI changes how data is accessed and used, security teams need protection that adapts as quickly as risk evolves.

Join the final webinar in our three-part AI Is Changing Data Risk. Can You Keep Up? series to see how modern data protection is evolving for the AI era. We'll explore how agentic capabilities help uncover risks static policies miss, reduce false positives, continuously improve policy effectiveness, and make more accurate protection decisions by understanding the sensitivity of the data—not just the content being shared.

In this 45-minute session, you'll learn how to:

• Detect risks that static policies can miss
• Focus on only the alerts that require human attention
• Maintain protection without constant policy tuning