What must derivative classifiers evaluate in their task?

Derivative classifiers must evaluate the combined context of new and existing information because their role involves understanding how newly developed data interacts with previously classified information. This holistic approach is essential to determine whether the new information could affect the classification level or the overall security of the data involved.

By considering both aspects, derivative classifiers can ensure that they maintain the integrity of classification decisions, protecting sensitive information while adhering to regulatory requirements. This evaluation ensures that all pertinent context is taken into account when making classification determinations, thereby reducing the risk of unauthorized disclosure or misclassification of information. The ability to analyze the relationship between new and existing information is crucial for maintaining compliance with classification standards and safeguarding national security.