Data Loss Prevention

What is Data Loss Prevention?

Minimize the risks of corporate data leakage with Data Loss Prevention. The easiest-to-implement Enterprise DLP

Purpose of the DPL

The purpose of Data Loss Prevention - or DLP - is to provide a solution to protect your intellectual property, trade secrets and other sensitive data. It helps you achieve and maintain compliance with regulations such as HIPAA, PCI DSS, and GDPR and provides the tools you need to prevent internal fraud and conduct internal audits and forensic investigations.

DPL Advantage

Zecurion DLP is a cost-effective, simplified and comprehensive solution. It provides rapid integration with enterprise infrastructure, is 4 times faster than the average enterprise DLP deployment. Once deployed, Zecurion DPL archives all events, files, and documents and provides user behavior analysis to proactively detect threats.

Zecurion DLP also reduces the workload for the security team and simplifies day-to-day management with interactive reports and graphs, which provide an immediate assessment of your data protection posture.

The most technologically advanced DLP system

More than 10 technologies, used together, minimize errors and false positives:

• Fingerprints and graphics fingerprints
• Probabilistic analysis
• Regular expressions
• Filters by attributes
• Data models
• Linguistic analysis
• OCR (optical character recognition)
• Subscription Analysis
• Transliteration and analysis of masked text
• Manual inspection using quarantine

Easily investigate all incidents with Zecurion DLP

• Archive of all events
• Attachment archive
• Employee communication map

An intuitively understandable DLP system without documentation

• A web interface that is launched on any device
• 20 policy templates for a quick start
• Interactive tables and diagrams
• Convenient control panel and predefined visual reports

Use early threat detection with the User Behavior Analytics (UBA) module

• Calculates more than 10 different characteristics for each user
• Self-learning analytical system with AI elements
• User relationship graph across 150 channels
• Detection of deviations and anomalies
• Security policy breach forecast

System requirements

CPU: Pentium 4 or higher

RAM: from 1 Gb.

Operating system: Windows XP SP3 or higher. Works on some Linux distributions. MacOS is not supported.

Server: Windows Server 2008 R2 or higher.

Database: MS SQL Server 2008 and higher, or PostgreSQL 9.6 and higher.