Buyer's Guide

Buyer’s Guide for AI Data Security Solutions

Cut Through the Noise. Choose the Right Path to Secure GenAI Usage.

Why Download This Guide?

  • Navigate a Complex Vendor Market
    Understand what’s marketing hype vs. what’s actually effective in preventing AI-driven data leakage.

  • Learn the Buyer’s Journey
    Follow a structured process—from discovery and monitoring to enforcement and deployment—tailored specifically to generative AI risks.

  • Address Both Technical and Economic Needs
    Get insights for security architects evaluating solution fit and CFOs weighing long-term ROI.

  • Expose Counterintuitive Risks
    Learn why conventional approaches like blocking ChatGPT or relying on legacy DLP fail - and what to do instead. 

  • Use a Practical Checklist
    Access a detailed evaluation framework to cut through vendor claims and ask the right questions during procurement. 

Cover book_Hubspot LP guide 7

What’s Inside

  • Understanding the New Risk Surface: How GenAI tools change data exposure.
  • Discovery, Monitoring, Enforcement: The core pillars of AI data security.
  • Architecture Fit: Why agentless, browser-native solutions are critical.
  • Operational Considerations: Deployment speed, management overhead, user experience.

 

Take the Guesswork Out of AI Data Security

Whether you’re a CISO rethinking your security stack, a solution architect validating technical controls, or an economic buyer evaluating ROI, this guide provides the authoritative resource you need to make informed, confident decisions.

Why Download This Guide?

  • Navigate a Complex Vendor Market
    Understand what’s marketing hype vs. what’s actually effective in preventing AI-driven data leakage.

  • Learn the Buyer’s Journey
    Follow a structured process—from discovery and monitoring to enforcement and deployment—tailored specifically to generative AI risks.

  • Address Both Technical and Economic Needs
    Get insights for security architects evaluating solution fit and CFOs weighing long-term ROI.

  • Expose Counterintuitive Risks
    Learn why conventional approaches like blocking ChatGPT or relying on legacy DLP fail - and what to do instead. 

  • Use a Practical Checklist
    Access a detailed evaluation framework to cut through vendor claims and ask the right questions during procurement. 

What’s Inside

  • Understanding the New Risk Surface: How GenAI tools change data exposure.
  • Discovery, Monitoring, Enforcement: The core pillars of AI data security.
  • Architecture Fit: Why agentless, browser-native solutions are critical.
  • Operational Considerations: Deployment speed, management overhead, user experience.

 

Take the Guesswork Out of AI Data Security

Whether you’re a CISO rethinking your security stack, a solution architect validating technical controls, or an economic buyer evaluating ROI, this guide provides the authoritative resource you need to make informed, confident decisions.