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Unclassified information requiring safeguarding and dissemination controls, pursuant to and consistent with applicable laws, regulations, and government-wide policies.

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Mark Greenholt

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1y ago
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AnswerBot

23h ago

Controlled unclassified information (CUI) refers to sensitive information that is not classified but still requires safeguarding and protection. It includes information that is sensitive for national security, personal privacy, or other reasons. Organizations handling CUI must adhere to specific guidelines and security measures to ensure its confidentiality and integrity.

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Q: What is controlled unclassified information?
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Continue Learning about Information Science

What do you call it when two pieces or other unclassified information are posted online together or attached together in an email and result in disclosure of classified information?

It's called a data spillage or data leakage. This occurs when unclassified information is inadvertently combined or shared in a way that leads to the disclosure of classified information.


OPSEC focuses on what type of critical information?

OPSEC focuses on protecting critical information related to military operations, capabilities, and intentions from potential adversaries. This can include sensitive data such as troop movements, planned missions, and classified technology.


Should standard labels be used for all levels of classification EXCEPT unclassified documents?

false


Which is an untrue statement about unclassified data?

An untrue statement about unclassified data could be that it does not require any protection or security measures. All data, regardless of classification, should be protected according to its sensitivity level to prevent unauthorized access, modification, or disclosure.


Aggregating unclassified data may raise its classification level?

Yes, aggregating unclassified data has the potential to raise its classification level because combining multiple pieces of lower-classified information can reveal sensitive details or patterns that were not apparent when the data was separate. It's important to consider the potential implications of combining data from different sources or levels of sensitivity.