Norm Litterini
The end of the beginning of widespread Artificial Intelligence (AI) adoption has arrived. Instead of seeming like a futuristic scene from a movie, today’s advancements are making a marked difference in processing large data sets.
These advances in capability and reliability demonstrate that AI should have a role in any unified threat intelligence strategy for the U.S. military, because of its incredible potential to accelerate the production of actionable intelligence and decision-advantage workflows.
Unified threat intelligence describes a comprehensive approach to collecting, analyzing and sharing threat information across an organization. While the U.S. military has used the concept for years describing efforts to gather intelligence from multiple sources, introducing AI tools drives operational efficiency and accelerates the response to threats.
The concept includes two tenets: ensuring the joint team has a singular and comprehensive view of the threat landscape and that teams can respond by combining data from cyber, geopolitical and physical intelligence sources into a single, actionable intelligence stream.
Even with the improvements afforded by AI, the two fundamental challenges still exist: an overabundance of data to process and false positive/false negative errors. AI continues to improve and attempts to keep pace with vast amounts of data collected, but the need for humans in the loop has not decreased. The military still requires humans to ensure AI performs well enough to “minimax” type one errors (false positives) and to try to eliminate type two errors (false negatives) altogether.
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