Data Loss Prevention
Data Loss Prevention (DLP) refers to a set of strategies, tools, and practices designed to ensure that sensitive or critical data is not lost, misused, or accessed by unauthorized individuals. It focuses on preventing data breaches, accidental data loss, and unauthorized data access.
In practice, DLP can be implemented through software solutions that integrate with an organization’s IT infrastructure, including email systems, network traffic, endpoints, and cloud services. These solutions use various techniques, such as content inspection, contextual analysis, and user behavior monitoring, to protect data.
Key Features of DLP Services
Content Discovery and Classification
Identifies sensitive data (e.g., PII, PHI, financial data) across the organization and applies appropriate protections.
Policy Enforcement
Sets rules to control data access, sharing, and transfer based on sensitivity levels.
Data Encryption
Encrypts sensitive data to ensure that it remains secure during storage or transmission.
Real-Time Monitoring
Tracks data movements in real time to detect and block unauthorized actions.
Incident Response and Alerts
Provides automated alerts and detailed reports on policy violations.
Role-Based Access Control (RBAC)
Limits access to sensitive data based on user roles and responsibilities.
Integration with Existing Systems
Works with tools like email gateways, cloud platforms, and endpoint security solutions.