Fear of regulatory disapproval and data integrity concerns have kept some U.S. financial institutions from more fully incorporating machine learning and other artificial intelligence-based monitoring tools into their anti-money laundering programs, say sources.
Some of the country's largest financial institutions are increasingly seeking to hire more data analysts in efforts to make better sense and use of complex sets of transactional and customer information, say sources.
Anti-money laundering, fraud prevention and cybersecurity personnel should more frequently collaborate to guard their institutions and their customers against online intrusions by criminals and state-sponsored groups, U.S. officials said Tuesday.
Several of the world's largest financial institutions are years into the process of rethinking and updating how they share the personal information of their customers across borders to thwart illicit finance.