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.
Aside from the PR nightmare, Anti-money laundering (AML) non-compliance has steep fines, and a loss of customer trust could be detrimental to the longevity of the bank. Read this e-guide to learn more about AML non-compliance and the role that AI/machine leaning is expected to play in the future of AML 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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