DEFINITION: Concealing or disguising how illegally obtained funds (such as from drug trafficking, gun smuggling, corruption, etc.) is generated to avoid a transaction-reporting requirement under state or federal law.
Inside, explore how advanced analytics can be used to identify patterns of fraud and potentially suspicious activities, and review what AI and machine learning can do for your anti-money laundering (AML) and combating the financing of terrorism (CFT) programs.
This paper discusses the ways that identify and social network analysis can help you prevent fraud and enable compliance by focusing not only on transactions, but also on person and groups and how they are related. Learn the requirements for a proactive fraud detection systems, and how ongoing data analysis can alert you to the need for action.
This whitepaper will help you understand what new and innovative techniques can be used to protect the reputation of your business, keep your members in a safe and trusted environment, while keeping the fraudsters out. Device fingerprinting helps identify the bad guys so sites can eliminate their accounts from the network once and for all.
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