Money Mule Score by Bureau uses link analysis to connect user data, devices, and behavior. This real-time information reveals hidden patterns, identifying money mules even when they seem normal. Money mules ripple a dark wave through the global economy, costing billions annually. Over 90% of reported cases are linked to cybercrime. In 2023, 53% of fraud threats to financial institutions are caused by money mules, and 59% of new accounts of application fraud are money mules, with accounts going bad within 45 days. An estimated $10BN of reported money movement occurs via money mules annually. Money Mule Score identifies suspicious patterns in user behavior, device usage, and network connections, predicting potential money mule activity in real-time. It provides insights through alternative data, device forensics, and behavioral biometrics. Bureau protects your institution from onboarding to transaction, ensuring robust security throughout the customer journey. Passive checks with zero onboarding friction. Most analysis happens in the background when users enter their basic details, creating a frictionless experience. Money Mule Score analyzes user data, including names, emails, and phone numbers, to identify potential anomalies and suspicious behavior. Each data point is assigned a risk score to help businesses assess user legitimacy or potential money mule activity.
