Buyer's Guide
Buyer’s Guide for AI Data Security Solutions

Most security stacks cannot see what happens inside AI tools. Learn how to evaluate AI usage control solutions based on real enterprise risk.

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.