Short Answer 
Derivative classification involves using existing classified information to determine the classification of new documents, highlighting the importance of identifying revealed information from prior sources. Adhering to established classification guidelines is essential for safeguarding sensitive information and preventing unauthorized disclosure.
Step 1: Understand Derivative Classification
The concept of derivative classification involves determining how to classify a new document based on existing classified information. It is essential to recognize which pieces of information from prior documents are being reused and how they impact the classification level of the new document.
Step 2: Identify Revealed Information
In the context of derivative classification, when existing classified data is used, we need to assess how much of that information is revealed in the new document. Specific names, like Barkley and James, may tie back to previously classified sources, guiding the classification decision on the new document.
Step 3: Follow Classification Guidelines
It’s crucial for derivative classifiers to adhere to established classification rules to protect sensitive information. They must ensure they thoroughly understand and follow these guidelines, which often include:
- Identifying authorized sources of classified information
- Understanding the context of the new document
- Safeguarding all shared information to prevent unauthorized disclosure