Buyer’s Guide to Data Loss Prevention Solutions

This document is a buyer's guide focused on data loss prevention (DLP) solutions, outlining essential capabilities for organizations to manage data loss and mitigate insider threats. It begins by defining a human-centric security model, which emphasizes visibility into user interactions with sensitive data and the importance of understanding user intent in preventing data loss incidents. The guide details key elements of a modern DLP solution, including monitoring user activities across various platforms, detecting risky actions in real-time, analyzing user behavior trends, and responding effectively to incidents. It highlights the primary use cases of data loss, which stem from careless users, the risks associated with generative AI applications, and malicious insiders. The guide also discusses the need for robust detection and prevention measures, user education, and the importance of a comprehensive threat library for investigations. Overall, it serves as a reference for organizations seeking to enhance their DLP strategies and systems.