The US government is requesting $30.3 million over five years for "Polygraph+" or "Polygraph Next", an AI-powered lie detection system developed by the Defense Counterintelligence and Security Agency (DCSA). The program aims to modernize federal polygraph technologies using machine learning and standoff sensing, which captures physiological data without physical contact. The technology would be used for employee vetting and insider threat detection. This initiative follows increased polygraph usage under Defense Secretary Pete Hegseth, including tests administered to Joint Staff officers after reports on depleted weapons stockpiles. Critics question the scientific validity of such systems. Kyri Kotsoglou of Northumbria Law School calls it a "misguided effort to reduce the complex to something tangible." Past assessments have found polygraph evidence weak; the 2003 National Research Council report concluded efficacy was "weak at best." The DoD employs 2.8 million staff, and current polygraph methods remain largely unchanged since the 1920s, relying on blood pressure, pulse, and sweat measurements. The American Polygraph Association claims 80-94% accuracy, but false positives remain a concern.

Defense Innovation Unit (DIU) previously selected Presage Technologies and Altec Research to build prototypes. Presage claims to measure heart and breathing rates using standard cameras, while Altec tracks head movement, facial skin temperature, and pore activity. Neither company responded to requests for comment.

Congressional approval for the budget has not yet been granted.