DARPA-SN-25-23.pdf
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- Solicitation number
- DARPA-SN-25-23
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This is a Special Notice issued by DARPA's Information Innovation Office (I2O) announcing the forthcoming Anticipatory and Adaptive Anti-Money Laundering (A3ML) program. The notice outlines a potential program to develop algorithms that can analyze financial transaction graphs, detect suspicious patterns, and anticipate future money laundering activities. The program aims to replace current manual, reactive anti-money laundering practices with agile, algorithmic methods.
The program's key objectives include developing algorithms to sift through financial data for suspicious patterns, learning new patterns to anticipate future activities, and creating machine-readable formats for representing illicit financial behavior that can be easily understood by human analysts. The notice indicates that if released, the A3ML Program Solicitation will be available on sam.gov. The document emphasizes this is not a formal solicitation or RFI, and no submissions will be accepted. DARPA is offering free resources through DARPAConnect (www.DARPAConnect.us) to help potential performers navigate the proposal process, including guidance on award vehicles, solicitations, and proposers days.
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Special Notice Information Innovation Office
Program Announcement: Anticipatory and Adaptive Anti-Money Laundering (A3ML)
DARPA-SN-25-23
December 18, 2024
PROGRAM ANNOUNCEMENT
The purpose of this Special Notice is to provide public notification of additional research areas of interest to the Defense Advanced Research Projects Agency (DARPA) Information Innovation Office (I2O), specifically for the forthcoming Anticipatory and Adaptive Anti-Money Laundering (A3ML) program by I2O Program Manager, David Dewhurst.
If released, the A3ML Program Solicitation will be made available at https://sam.gov.
PROGRAM BACKGROUND AND OBJECTIVES
DARPA wants to eliminate global money laundering by replacing the current manual, reactive, and expensive analytic practices with agile, algorithmic methods.
Money laundering directly harms American citizens and global interests. Half of North Korea’s nuclear program is funded by laundered funds, according to statements by the White House1, while a federal indictment alleges that money launderers tied to Chinese underground banking are a primary source of financial services for Mexico’s Sinaloa cartel2.
Despite recent anti-money laundering efforts, the United States (U.S.) still faces challenges in countering money laundering effectively for several reasons. According to Congressional research, money laundering schemes often evade detection and disruption, as anti-money laundering (AML) efforts today rely on manual analysis of large amounts of data and are limited by finite resources and human cognitive processing speed3.
To address these challenges, DARPA seeks to revolutionize the practice of anti-money laundering through its A3ML program. A3ML aims to develop algorithms to sift through financial transactions graphs for suspicious patterns, learn new patterns to anticipate future activities, and develop techniques to represent patterns of illicit financial behavior in a concise, machine-readable format that is also easily understood by human analysts. The program’s success hinges on algorithms’ ability to learn a precise representation of how bad actors move money around the world without sharing sensitive data.
DARPACONNECT
DARPAConnect offers free resources to potential performers to help them navigate DARPA, including “Understanding DARPA Award Vehicles and Solicitations,” “Making the Most of Proposers Days,” and “Tips for DARPA Proposal Success.” Join DARPAConnect at www.DARPAConnect.us to leverage on-demand learning and networking resources.
NOTE: This Special Notice does not constitute a formal solicitation for proposals. This notice is issued solely for information and program planning purposes and is not a Request for Information (RFI). Since
1 https://www.cnn.com/2023/05/10/politics/north-korean-missile-program-cyberattacks/index.html. Stolen cryptocurrency must generally be laundered into fiat currency to purchase goods required for a defense weapons program, such as North Korea’s nuclear program.
2 https://www.justice.gov/opa/pr/federal-indictment-alleges-alliance-between-sinaloa-cartel-and-money-launderers-linked 3 https://crsreports.congress.gov/product/pdf/IF/IF11064 https://sam.gov/ http://www.darpaconnect.us/ https://www.cnn.com/2023/05/10/politics/north-korean-missile-program-cyberattacks/index.html https://www.justice.gov/opa/pr/federal-indictment-alleges-alliance-between-sinaloa-cartel-and-money-launderers-linked https://crsreports.congress.gov/product/pdf/IF/IF11064 this is not an RFI, no submissions against this notice will be accepted by DARPA. Interested parties to this notice are cautioned that nothing herein obligates DARPA to issue a solicitation.
NO CLASSIFED INFORMATION SHOULD BE INCLUDED IN ANY COMMUNICATIONS IN
RESPONSE TO THIS SPECIAL NOTICE.
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