Without understanding how ubiquitous technical surveillance (UTS) data becomes intelligence, we assume anything UTS detects is compromised. In reality, substantial holes exist in our adversaries’ capabilities, creating gaps for the Department of Defense and Intelligence Community to exploit.
Intelligence After Next: Deciphering Ubiquitous Technical Surveillance with Data-Driven Analytics and Artificial intelligence
We must evolve our understanding of UTS and recognize that data generated by UTS does not, without significant effort, become actionable insight for our adversaries. Creating value from UTS data requires specific talents, skills, materials, technology, budgets, access to data, and an ability to distribute the resulting information to a receptive audience. UTS requires a subsequent process, data-driven analytics and artificial intelligence (D2A2), to create meaningful and actionable intelligence. If the DoD and IC recognize and embrace this differentiated concept, the U.S. national security community will find itself better positioned to tackle pernicious challenges posed by technical threats.