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Top 10 DLP software
August 04, 2025 | Editor: Michael Stromann
10
Data Loss Prevention software that monitors employee actions across various channels, such as email, cloud services, removable media, social networks to ensure business data remains confidential and compliant with regulatory requirements.
1
Proofpoint allows to protect your people from advanced email attacks and identity-based threats, defend sensitive data from theft, loss and insider threats.
2
Complete security for all cloud applications. Use leading machine learning and UEBA capabilities to establish behavioral fingerprints for advanced risk calculation.
3
Govern, protect, and manage all of your data with Microsoft Purview, comprehensive solutions to help give you better visibility and control.
4
Comprehensive user behavior analytics software for insider threat management, data loss prevention, workplace productivity, employee monitoring & more.
5
Digital Guardian is a market-leading DLP, deployed via SaaS, that gives you immediate visibility into your organization’s assets, protecting critical data and IP wherever it lives
6
BetterCloud secures user interactions across your digital workplace. SaaS Management and Security that is customized to your business.
7
Veriato's AI-powered algorithm analyzes user behavior patterns and automatically alerts you to any abnormal or suspicious activity.
8
Protection on-premise or in the cloud built to safeguard business-critical data from data security challenges companies face today.
9
InterGuard Web Filtering Software is an agent-based solution that gives you cloud-based control over your employee's endpoint – even when they work from home.
10
Full Cycle Insider Risk Management platform. Allows to monitor insider activity, control access, respond to incidents.
11
Industry-Leading Multi-OS DLP. Discover, monitor, and protect your sensitive data with Endpoint Protector, advanced multi-OS data loss prevention.
12
Nightfall is one trusted DLP platform to discover, classify, and protect sensitive data across SaaS and cloud apps with machine learning.
