Indications and warning methodology for strategic intelligence
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Today's U.S. intelligence community lacks the human-centric focus needed to develop a forward-looking intelligence estimate. Using a comparative research model, this thesis explored how gray zone indicators used by the U.S. Army Special Operations Command translate into modern indicators for the intelligence community, and sought similar applications for the homeland security enterprise. The research found that, for homeland security, implementing a human-centric indications and warning methodology that focuses on the actor as the key security challenge can help provide advance warning for a planned attack or can indicate a bad actor who is inspiring others to take action.
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