AI Against Fraud & Financial Crime — Uncovering Money Mules: A Comprehensive Guide
Organized crime groups (OCGs) around the world are successfully committing authorized push payment fraud (APPF), identity theft, phishing, and other sophisticated scams. They increasingly utilize money laundering infrastructure to move money through financial systems, legitimizing their illicit profits from these digital crimes and physical crimes such as drug trafficking, smuggling, and human trafficking.
This comprehensive white paper explores the complexities of the money mule problem and the critical role of AI in real-time detection, and presents a path forward to halt muling activities. It discusses:
- How Mules are Recruited and Created
- How They Operate within the Criminal Cycle
- The Regulatory Landscape Surrounding Money Laundering Globally
- The Necessity of Leveraging Advanced Supervised Machine Learning Technology to Stop Mules and Illicit Money Flows in Real Time
