These are the Defense Counterintelligence and Security Agency’s own budget-request figures from an April 2026 document. This publication read the project pages only, verified nothing beyond reading its tables, and did not seek a response from the agency.
The Pentagon’s FY2027 budget justification requests $6.421 million for a program called Polygraph Next, which it says will integrate AI and machine-learning scoring with non-contact sensing, and about $30.3 million over five years. Those are the agency’s own budget figures from an April 2026 document, and this publication verified none of them beyond reading its tables. The contractor and contract method are listed as TBD.
The Defense Counterintelligence and Security Agency’s FY2027 RDT&E justification, dated April 2026, lists a project called Polygraph Next under program element 0305146V, Defense Joint Counterintelligence Activities, at R-1 line 269.
It describes Polygraph+/Polygraph Next as “a transformative effort to modernize federal polygraph and credibility assessment technologies,” in which the agency “will conduct independent validation studies, field testing, and prototype evaluations to advance standoff sensing, automated scoring, and decision aids.”
It says that “by integrating non-contact sensing systems and AI/ML-based scoring algorithms” the program will address personnel vetting and insider threat detection. It names research partners ARLIS and Oak Ridge National Laboratory “and industry leaders.”
Funding the agency lists for Polygraph Next: nothing through FY2026, then $6.421 million in FY2027 and roughly $5.7 to $6.4 million a year through FY2031, with cost to complete marked ‘Continuing’. A budget request, not an appropriation.
The Money
The document lists no funding for Polygraph Next in prior years, FY2025 or FY2026. It requests $6.421 million for FY2027, then $6.449 million, $6.158 million, $5.660 million and $5.654 million for FY2028 through FY2031, with cost to complete and total cost both marked “Continuing.”
This publication’s own arithmetic: the five requested years sum to $30.342 million. MIT Technology Review reported the program as $30.3 million over five years from this request, which matches.
The cost-analysis table lists a single line, with contract method and type given as “C/TBD” and the performing activity as “TBD.” It gives no award date.
What FY2027 Pays For
For FY2027 the document says the program plans “to scale production, necessary to conduct operational pilots with interagency polygraph programs to determine performance in the various operational applications while utilizing a broad spectrum of polygraph test formats.”
It says the program will also “begin developing cloud-based storage and a suite of tools to conduct data analytics to refine software, address gaps, and to conduct research necessary for identifying new diagnostic features.” Its increase statement says the rise from FY2026 enables development of future capabilities and expanded cloud storage and analytics.
The schedule-details page lists a Polygraph Next entry running from quarter 1 of 2028 to quarter 3 of 2029, without naming an event.
What the Document Does Not Say
The project pages this publication read give no accuracy or reliability figure for the technology they propose, name no vendor, and do not say how the AI and machine-learning scoring would be validated beyond the independent validation studies they list.
It is a budget estimate. Whether Congress has funded the line is not stated in it.
What Is Not Established
This publication read the Defense Counterintelligence and Security Agency’s budget justification and relied on MIT Technology Review only for the five-year figure, which it checked against the document’s own table. It did not seek a response from the agency.
Nothing here says whether the technology works or how it would be used on any person. All figures are the agency’s own request, and nothing in this piece is investment advice.
This piece draws on the Defense Counterintelligence and Security Agency’s FY2027 RDT&E budget justification of April 2026, project pages only, and on MIT Technology Review for the five-year total. The figures are the agency’s own request, and this publication verified nothing beyond reading its tables. It did not seek a response from the agency.The $30.342 million sum is this publication’s own arithmetic. Nothing above predicts anything, and nothing here is investment advice.
Gennaro is the creator of FourWeekMBA, which reached about four million business people, comprising C-level executives, investors, analysts, product managers, and aspiring digital entrepreneurs in 2022 alone | He is also Director of Sales for a high-tech scaleup in the AI Industry | In 2012, Gennaro earned an International MBA with emphasis on Corporate Finance and Business Strategy.
Scroll to Top
Discover more from FourWeekMBA
Subscribe now to keep reading and get access to the full archive.
