Money mule networks are growing larger and more sophisticated, while traditional methods slowly attempt to detect individuals after money moves. The facts: - 23% increase in student money mule cases - 40% of mules are under age 25 - 63% of young people don't know it's a criminal offense Join us on?March 26th at 11am PT/2pm ET?for a focused 30-minute webinar:?"Money Mule Networks Exposed: How AI Detects Networks Before Money Moves." We'll cover: ? Newest patterns that expose money mule networks as early as account opening ? How AI identifies hidden relationships between accounts ? Case studies demonstrating how UML detects and disrupts mule operations in real-time This webinar is for fraud prevention and financial crime teams interested in advanced detection methods. ??? Wednesday, March 26 ? 11 am PT / 2 pm ET | 30 minutes ??? Yongxin Xi, Senior Product Consultant,?DataVisor Yongxin Xi is an anti-fraud expert and enthusiast. She holds a PhD from Princeton University specialized in machine learning theory, and has over a decade of industry experience fighting spam and fraud. Currently, she guides world class anti-fraud products at DataVisor. ??? Pierre Isensee, Principal Solutions Consultant, DataVisor Pierre has been helping financial institutions around the world fight fraud and financial crime for nearly twenty years. He has worked with financial institutions in the banking, crypto currency, financial services, fintech, gaming, life insurance and money-service business sectors, helping them tackle issues related to AML compliance and fraud. Learn more and register for this #DEFEND webinar: ?? https://lnkd.in/gdxtBs8b #Fraud #MoneyLaundering #AML #AI #ML
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