Data Loss Prevention (DLP) is a set of tools and processes used to ensure that sensitive data is not lost, misused, or accessed by unauthorized users.

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Multiple Choice

Data Loss Prevention (DLP) is a set of tools and processes used to ensure that sensitive data is not lost, misused, or accessed by unauthorized users.

Explanation:
Data Loss Prevention focuses on protecting sensitive information by preventing its unauthorized disclosure, leakage, or misuse. It combines detection, policy enforcement, and controls across endpoints, networks, and cloud services, aiming to keep data within approved boundaries. By classifying data, monitoring how it moves, and applying rules that block or alert on risky actions—such as emailing sensitive files, uploading to untrusted clouds, or copying data to removable media—DLP helps ensure data is not lost or accessed by unauthorized users. This protective approach, spanning data in use, data in transit, and data at rest, is exactly what the statement describes, making it true.

Data Loss Prevention focuses on protecting sensitive information by preventing its unauthorized disclosure, leakage, or misuse. It combines detection, policy enforcement, and controls across endpoints, networks, and cloud services, aiming to keep data within approved boundaries. By classifying data, monitoring how it moves, and applying rules that block or alert on risky actions—such as emailing sensitive files, uploading to untrusted clouds, or copying data to removable media—DLP helps ensure data is not lost or accessed by unauthorized users. This protective approach, spanning data in use, data in transit, and data at rest, is exactly what the statement describes, making it true.

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