Where Fraud, AML, and Cyber Intelligence Converge Lynx Money Mule Detection uses supervised machine learning to identify illicit sources of funds and mule accounts in real-time. Allowing you to take immediate action to mitigate mules and block APPF...
Introduction As artificial intelligence becomes increasingly ingrained in our daily lives, so does the adoption of such technologies. Like a tech tug-of-war between the good and the not-so-good. This article will address how both sides play out, what this means for...
AI & ML Integration in the Anti-Financial Crimes Ecosystem Firstly – there’s a growing emphasis on the application of AI and ML within the anti-financial crime ecosystem, aligning closely with data governance. While organizations recognize the benefits that AI...
The past It has long been the case that Fraud Prevention, Anti Money Laundering and Cybersecurity are separate solutions with their own specific use cases that they address. Fraud Prevention has somewhat sat between the two trying to take the best from both sides, but...
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