Outseer mule detection enables financial institutions to identify mule activity in real time before funds leave the bank. It extends fraud-led controls across digital banking journeys, helping teams address mule, scam, and unauthorized fraud risk together with explainable decisions that support both fraud and AML operations.
- Multi-signal detection
Combine transactional and non-transactional signals, including device, location, behavioral, account activity, and payment patterns, to identify mule activity. - Journey-aware risk assessment
Assess mule risk across the full digital banking journey, from login and account activity through to a risk score at the outgoing payment.
- Accurate detection across mule types
Apply mule-specific context to distinguish complicit, witting, and unwitting mules, reducing false positives and unnecessary disruption to legitimate customers.
- Unified view of fraud, scams, and mule risk
Evaluate scam, unauthorized fraud, and mule activity together using a single risk engine, reducing blind spots created by siloed controls.
- Explainable decisions for fraud and AML teams
Generate clear, explainable risk scores that support real-time fraud action and downstream AML review and investigation.