AI Is Accelerating Your Data Risk: How to Secure Sensitive Data Before AI Finds It
Presented by
Philip Robinson, Chief Marketing Officer @ Lepide
AI tools are rapidly changing how employees find, access, and use information. But while AI promises huge productivity gains, it is also accelerating data security risks that already exist inside most organizations.
Overshared files, excessive permissions, stale access, sensitive data in unexpected locations, and poorly governed accounts become far more dangerous when AI tools and agents can discover and interact with information at speed. Add the growing use of unsanctioned AI tools, and security teams face new ways for sensitive data to be exposed that traditional controls were never designed to address.
In this webinar, we'll explore how AI is changing the data risk landscape and why securing AI starts with understanding and reducing the exposure that already exists across your environment.
What You'll Learn:
- Why AI amplifies existing data security and access risks
- How excessive permissions and overshared data create hidden AI exposure
- Why sensitive data discovery becomes more important as AI adoption grows
- How shadow AI creates new opportunities for sensitive data to leave your organization
- Why AI agents and machine identities introduce new access governance challenges
- How to identify which sensitive data is most exposed and who can access it
- Practical steps for reducing data exposure without slowing AI adoption
- Live demonstrations of how Lepide helps organizations discover sensitive data, identify excessive access, monitor risky activity, and reduce data exposure
Whether your organization is already rolling out AI tools, experimenting with AI agents, or still deciding how AI should be governed, the underlying security challenge is the same: AI can only be as secure as the data and access it inherits.
This session will provide practical guidance to help you understand where your biggest data risks exist today, reduce unnecessary exposure, and build a safer foundation for AI adoption.
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