Automated AML Systems, False Positives, and the Risk of Institutional Disproportion: A Structural Assessment for the U.S. Financial System
Published
February 19, 2026
Author
Khrabrykh S. A.
Original language
English
This report examines the evolution of Anti-Money Laundering (AML) systems in the United States, tracing the transition from manual controls to algorithmic methods and the resulting systemic risks. It focuses on the issue of false positives, which leads to “defensive compliance,” information overload for regulators, and a shift in institutional proportionality within the financial architecture
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