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What is DLP?

Data Loss Prevention (DLP) is a set of technologies and policies that detect and prevent unauthorized transmission, storage, or use of sensitive data such as PII, financial records, intellectual property, and regulated data.

Definition

DLP
Data Loss Prevention (DLP) is a set of technologies and policies that detect and prevent unauthorized transmission, storage, or use of sensitive data such as PII, financial records, intellectual property, and regulated data.

How DLP Works

DLP systems inspect data in three states: data in motion (network traffic leaving the organization), data at rest (files stored on servers, cloud storage, or endpoints), and data in use (clipboard activity, screen captures, printing). Detection relies on content inspection techniques including regular expressions (credit card number patterns), exact data matching against fingerprinted datasets, ML classifiers trained on sensitive document types, and metadata-based policies.

Deployment points include network proxies (inspecting web and email traffic), endpoint agents (monitoring file operations and USB transfers), cloud access security brokers (CASB, for SaaS data), and email security gateways. DLP policies typically start in monitoring mode to establish a baseline before enforcing blocking actions.

DLP is critical for insider threat programs, GDPR and HIPAA compliance, and protection against data exfiltration by attackers who have already established a foothold.

DLP in SOC Operations

DLP alerts are high-priority because they indicate potential data theft or policy violation, both carrying significant regulatory and reputational consequences. You investigate by confirming data sensitivity, identifying the user's behavior context (known workflow or anomalous?), checking for corroborating UEBA or endpoint alerts, and coordinating with HR and legal when insider threat indicators are present.

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