LLMs Could Slash Sanctions False Positives by 90%

Fed study supports industry claims

Posted 11/18/25

A working paper by the Federal Reserve Board asserts that large language models (LLMs) can materially improve sanctions-screening performance — reducing false positives by more than 90 % while modestly improving true-match detection.

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