Skip to content

Advanced Data Loss Prevention (DLP)

PROJECT ZERO edited this page Jan 18, 2025 · 1 revision

Advanced Data Loss Prevention (DLP)

DLP Module

The Advanced Data Loss Prevention (DLP) module is designed to detect, prevent, and respond to data breaches. By leveraging machine learning and other advanced techniques, the DLP module can identify sensitive data, monitor its usage, and enforce policies to protect it from unauthorized access and exfiltration.

Key Features

  • Data Discovery and Classification: Automatically discovers and classifies sensitive data across the organization.
  • Real-time Monitoring: Continuously monitors data usage and access patterns to detect potential breaches.
  • Policy Enforcement: Enforces data protection policies to prevent unauthorized access and exfiltration.
  • Incident Response: Provides automated incident response capabilities to quickly contain and mitigate data breaches.

Detecting and Preventing Data Breaches

The DLP module helps organizations detect and prevent data breaches by continuously monitoring data usage and access patterns. By identifying anomalies and potential threats, the DLP module can take proactive measures to protect sensitive data and prevent breaches.

Examples

  • Unauthorized Access: Detects and blocks unauthorized access to sensitive data, preventing potential breaches.
  • Data Exfiltration: Identifies and stops attempts to exfiltrate sensitive data, protecting it from being stolen.
  • Insider Threats: Monitors for suspicious activities by insiders and takes action to prevent data breaches.

TABLE OF CONTENTS

Clone this wiki locally