What is derivative classification?

Derivative classification refers specifically to the process of incorporating, paraphrasing, or generating new classified information based on existing classified material. This means that when someone takes information that is already classified and uses it to create a new document or to modify existing classified information, they are derivative classifying that information.

This process is essential because it ensures that new documents or information maintain the appropriate level of classification in accordance with the original source material. By following the guidelines for derivative classification, individuals help to protect sensitive information from unauthorized disclosure.

In contrast, the other options touch on different aspects of information classification but do not accurately define derivative classification. For example, declassifying information is a separate process that involves removing the classified status from information, while securely storing classified information is related to information management and security, not classification itself. Evaluating classified information for accuracy pertains to the review and verification process rather than the act of derivative classification. Thus, option B captures the essence of derivative classification accurately.