What transactions look suspicious?

As FinCEN—the Financial Crimes Enforcement Network—has helped describe, transactions that “serve no business or other legal purpose and for which available facts provide no reasonable explanation” are one of the most common signs of suspicious activity.



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Examples an unusual transaction include identifying suspicious insurance claims, unusual banking transactions, and credit card activity. Machine learning is also useful in network relationship analysis. In this application, machine learning explores the connections between people and entities.

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The information banks collect may be used to create bank statements, monitor for fraud, and determine credit eligibility. Banks and credit unions also gather information about consumers' online activities.

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