In cases of derivative classification, which information is necessary?

In the context of derivative classification, it's essential to understand the significance of the original classification decision and how it informs subsequent classifications. The reason for the original classification is critical because it provides the necessary context for understanding why certain information is deemed sensitive. This rationale helps ensure consistency and accuracy in the process of classifying derived information, as it reveals the specific guidelines and criteria that dictate the sensitivity of the material.

When derivative classifiers are tasked with adding classification markings to new documents or information based on existing classified material, they must reference the original classification rationale. This ensures that the new classification accurately reflects the sensitivity and handling requirements of the source information. Thus, without the reason for the original classification, derivative classifiers would lack the fundamental basis for their decisions, potentially leading to misclassification or the unwarranted handling of sensitive information.