Views on AI in AML, Transaction Monitoring, KYC & Sanctions, 2024 to 2026
Sources: Official speeches, congressional testimony, proposed rulemakings, interagency statements
AI and other new technologies can identify suspicious activity with a speed and precision that legacy 'rules-based' systems cannot match. These tools can elevate real risk signals and reduce false positives, allowing investigators to focus on what truly matters.
Travis Hill
Chairman
Federal Deposit Insurance Corporation (FDIC)
Remarks at the American Bankers Association Washington Summit, "An Update on Reforms to the Regulatory Toolkit"
March 11, 2026
We will work with OCC-supervised banks to clarify new ways for banks to conduct the very old business of banking and embrace new technologies like AI, ensuring these opportunities are available to all banks.
Jonathan Gould
Acting Comptroller of the Currency
Office of the Comptroller of the Currency (OCC)
Senate Testimony
February 26, 2026
Using AI to strengthen and improve AML compliance should be a no brainer.
Michael J. Hsu
Former Acting Comptroller of the Currency
Office of the Comptroller of the Currency (OCC)
Public statement / LinkedIn post, covered by Risk.net
July 9, 2025
If our regulatory environment is not receptive to the use of AI in these circumstances customers are the ones who suffer.
Michelle W. Bowman
Vice Chair for Supervision
Board of Governors of the Federal Reserve System
27th Annual Symposium on Building the Financial System of the 21st Century, "Artificial Intelligence in the Financial System"
November 22, 2024
[Financial institutions may adopt] machine learning or artificial intelligence, that can allow for greater precision in assessing customer risk, improving efficiency of automated transaction monitoring systems by reducing false positives, or reducing overall costs and improving commercial viability with certain customer types and jurisdictions.
Andrea Gacki
Director
Financial Crimes Enforcement Network (FinCEN)
Notice of Proposed Rulemaking, "Anti-Money Laundering and Countering the Financing of Terrorism Programs", Federal Register 89 FR 55428
June 28, 2024
U.S. Department of the Treasury
2024 National Strategy for Combating Terrorist and Other Illicit Financing
Innovations in AI, including machine learning and large language models such as generative AI, have significant potential to strengthen anti-money laundering/countering the financing of terrorism (AML/CFT) compliance by helping financial institutions analyze large amounts of data and more effectively identify illicit finance patterns, risks, trends, and typologies.
May 2024, U.S. Department of the Treasury