Data Loss Prevention Tools
Data Loss Prevention (DLP) solutions for preventing unauthorized data exfiltration, detecting data breaches, and enforcing data security policies.
Browse 133 data loss prevention tools
USE CASES
Multicloud ransomware resiliency via distributed, encrypted, network-coded backups.
AI-native DLP platform that auto-investigates signals and surfaces real incidents.
Blocks unauthorized app data exfiltration via real-time outbound flow validation.
Batch Multi-Format Hidden Data & Metadata Removal Software Tool for Windows
Prove your data. Recover instantly. Win even after a cyberattack
Autonomous, context-aware, agentic data loss prevention
Enterprise SSH server for encrypted remote access & secure file transfer.
On-device camera detection tool to prevent visual screen exfiltration.
Document-level encryption and access control with native app integration.
Real-time DLP tool that masks & blocks sensitive data leaks across apps.
File encryption tool for securing data shared via email, USB, cloud, or FTP.
Prevents sensitive data leaks to GenAI apps and browser extensions.
Autonomous, AI-driven DLP that blocks sensitive data leaks in real-time.
DLP tool that discovers, classifies, and enforces policies on sensitive SFDC data.
AI-native autonomous DLP platform for SaaS, endpoints, and GenAI apps.
AI-native DDR detecting data exfiltration via behavioral & semantic analysis.
Unified DLP platform with centralized policy control across cloud, SaaS & endpoints.
Real-time DLP that blocks sensitive data exfiltration via eBPF monitoring.
Cloud & SaaS data boundary enforcement to prevent data exfiltration.
Data Loss Prevention Tools FAQ
Common questions about Data Loss Prevention tools, selection guides, pricing, and comparisons.
DLP operates at three points: network DLP monitors data in transit (email, web uploads, file transfers), endpoint DLP monitors data on devices (USB copies, printing, screenshots), and cloud DLP monitors data in SaaS applications and cloud storage. Most organizations need all three, but start with the channel where data is most commonly leaving: usually email and cloud sharing.
