Data Loss Prevention (DLP) tools are technologies designed to detect and prevent sensitive data from leaving an organization's control. They monitor data in use (endpoint actions), data in motion (network traffic), and data at rest (storage systems) to identify and protect sensitive information such as personally identifiable information (PII), protected health information (PHI), and intellectual property. DLP solutions employ techniques like content analysis, contextual analysis, and user behavior analysis to enforce data security policies and prevent unauthorized disclosure or transmission of data. They are commonly used to comply with regulations, protect intellectual property, and maintain data privacy.
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