Can tech and collaboration combat money laundering ?

Using payments data, privacy-enhancing technologies, AI and enhanced cooperation for a behavioural-based analysis approach to detecting money laundering networks is more effective than the current rules-based approach, concludes new research from the BIS Innovation Hub.


According to the Financial Action Task Force, almost all large money laundering schemes are cross-border and involve different business sectors. Meanwhile, financial institutions often face limitations in detecting potential suspicious networks and transactions due to their reliance on fragmented data and systems.

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Can tech and collaboration combat money laundering ?

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