All of the following are components of DLP except:

Data Loss Prevention (DLP) is a strategy used to ensure that sensitive data is not lost, misused, or accessed by unauthorized users. The components of DLP are designed to help organizations identify, monitor, and protect sensitive information.

Labeling, while important in data management and governance to signify the sensitivity of information, is not universally recognized as a fundamental component of DLP. Instead, DLP primarily focuses on monitoring to track data movement, enforcement to implement policies and prevent unauthorized access or sharing, and discovery and classification to identify and categorize sensitive data.

Monitoring involves observing data usage and transfer, helping to identify potential breaches or unsafe practices. Enforcement refers to applying rules and policies that dictate how and where sensitive data can be shared. Discovery and classification are essential for recognizing sensitive information and categorizing it according to its sensitivity level, ensuring appropriate protections are applied.

In summary, while labeling serves a role in data governance, it does not fall under the core operational components of DLP like the other three options.