The DLP Buyer's Guide: Evaluating DLP solutions for the AI Era

False positive rates in traditional DLP can reach 90%. One enterprise team processed 2 million DLP events per week, and five analysts could investigate 160 of them. Most organizations aren't under-invested in DLP. They're underserved by the architecture holding it together.

This guide is for CISOs and practitioners who want to turn fragmented tools into a program that reduces risk without removing anything. It explains what is broken in traditional DLP, what modern architecture looks like, and how to evaluate solutions that deliver real signal over noise.

What You'll Learn:

• Why traditional DLP leads to noise, fragmentation, and blind spots: the volume and coverage gaps that make programs difficult to manage and less effective
• How a DLP intelligence layer unifies your existing tools:  how a centralized approach improves decision-making without requiring you to start over
• Where DSPM fits in, and why context matters: how integrating data posture reduces false positives and improves enforcement accuracy
• A practical evaluation framework: how to shortlist, what to look for in depth, and a simple scoring matrix to compare vendors objectively
• Your path to modernization: Discover, Govern, Protect, & Enable: operationalize DLP in quarters, not years

Download the Guide 

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