Deciphering Ubiquitous Technical Surveillance with Data-Driven Analytics

This technical report discusses the implications of ubiquitous technical surveillance (UTS) and the role of data-driven analytics and artificial intelligence (D2A2) in understanding adversarial capabilities. It outlines how the Department of Defense (DoD) and Intelligence Community (IC) must differentiate between what is detectable by UTS and what can be deduced through D2A2. The report emphasizes the need for a framework that allows intelligence professionals to map adversaries' capabilities and identify exploitable gaps in their data processing. It also addresses the challenges posed by advances in technology, which have made the United States vulnerable to adversaries who can leverage UTS for intelligence purposes. The report introduces the TCPED framework, which helps organize the intelligence cycle and underscores the importance of understanding the complexities of D2A2 in transforming UTS data into actionable intelligence. By analyzing both UTS and D2A2, the report aims to improve the effectiveness of intelligence operations and enhance national security.