If you're looking for a machine learning-based system to identify high-risk customers and behavioral anomalies, there are a few other contenders. JuicyScore has a mature fraud prevention and customer protection system. It offers detailed assessments of risk based on more than 50,000 parameters from each device, and it's geared for financial services, e-commerce, insurance and other businesses. The system is designed to be fast to deploy and to meet global security standards.
Another contender is nudata Security. The patented technology combines behavioral biometrics and device information to assess user behavior in real time. It offers high-precision risk scores and can spot and block suspicious activity without harming legitimate users. Its combination of features makes it a good option for financial services and e-commerce companies trying to balance security and convenience.
Incognia offers persistent device fingerprinting and indoor location intelligence to thwart fraud and ensure a safe digital journey. It spots anomalies like location spoofing and app tampering, and it's good for companies like financial services and food delivery. Its ability to identify users across multiple devices and to offer frictionless risk assessments is notable.
Last, Flagright has an AI-native system for AML compliance and fraud prevention. It includes automated case management, real-time transaction monitoring and AI-based risk scoring. The system is designed to help fintechs and banks monitor and investigate financial crime, with high accuracy and a fast onboarding process.