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Glossary Term

Data Loss Prevention

A set of technologies, policies, and processes designed to detect and prevent the unauthorized transmission, exfiltration, or leakage of sensitive data outside the organization.

Understanding DLP

Data Loss Prevention (DLP) is the practice of detecting and preventing data breaches, exfiltration, or unwanted destruction of sensitive data. DLP solutions monitor data in motion (network traffic), data at rest (storage), and data in use (endpoint activity) to identify and block unauthorized data transfers.

DLP requires a clear data classification policy as its foundation. Before you can prevent data loss, you must define what constitutes sensitive data and where it resides. Common categories include personally identifiable information (PII), protected health information (PHI), payment card data, intellectual property, and financial records.

Modern DLP has expanded beyond on-premises tools to include cloud DLP capabilities that monitor data in SaaS applications, cloud storage, and collaboration platforms. As data increasingly lives in the cloud, cloud-native DLP has become essential for preventing unauthorized data sharing and exposure.

DLP Coverage Areas

Network DLP

Monitors network traffic for sensitive data being transmitted via email, web, FTP, or other protocols.

Endpoint DLP

Monitors endpoint activities including USB transfers, printing, clipboard operations, and screen captures.

Cloud DLP

Monitors data in SaaS applications, cloud storage, and collaboration tools for unauthorized sharing.

Email DLP

Scans outbound email and attachments for sensitive data and policy violations before delivery.

Implementation Best Practices

Start with data classification: Define what data is sensitive before trying to protect it
Begin in monitor mode: Observe data flows before blocking to avoid disrupting legitimate business
Prioritize high-risk channels: Focus DLP on the highest-risk data exfiltration paths first
Integrate with incident response: Define procedures for DLP alerts and policy violations
Educate users: Many DLP incidents are unintentional, and training reduces false positives

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