Is it possible for classification to be raised if your new material combines pieces of information that are not individually classified? If so, what concept is used to derivatively... Is it possible for classification to be raised if your new material combines pieces of information that are not individually classified? If so, what concept is used to derivatively classify the statement in the new document?

Understand the Problem

The question is asking whether a new classification can be applied to a document that contains unclassified information by combining various pieces of information. It is seeking to understand the concept or method used for derivatively classifying such statements in the new document.

Answer

Yes, through 'Classification by Compilation.'

Yes, it is possible for the classification to be raised if your new material combines pieces of information that are not individually classified. This is due to 'Classification by Compilation,' a principle used in derivative classification.

Answer for screen readers

Yes, it is possible for the classification to be raised if your new material combines pieces of information that are not individually classified. This is due to 'Classification by Compilation,' a principle used in derivative classification.

More Information

'Classification by Compilation' acknowledges that individually unclassified information can be aggregated to reveal a sensitive conclusion that warrants a higher classification level.

Tips

A common mistake is assuming that if individual pieces of information are unclassified, their combination will also remain unclassified. Always assess the potential aggregate sensitivity.

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