Question: Can you recommend a fraud prevention platform that uses machine learning and behavioral biometrics to detect and block financial fraud?

If you're looking for a fraud prevention platform that combines machine learning and behavioral biometrics, Sardine is worth a look. The company's suite of tools is designed to detect and prevent a range of fraud types, including identity fraud, account takeover, payment fraud and more. Sardine uses deep device intelligence and more than 4,000 features to spot fraud, and its no-code rule editor means you can customize it to your needs. It's easy to integrate with other tools, and fraud experts are on hand to help.

Another strong contender is Sift, an AI-based fraud decisioning platform used by more than 700 brands around the world. Sift is designed to reduce digital friction while preventing fraud like account takeover and payment fraud. It offers precise, user-level signals across the user journey and measurable results, including a 30% reduction in review efficiency and a 25% reduction in fraud loss.

Forter has a strong Identity Intelligence platform that offers real-time decision-making for every customer interaction. It includes tools for Identity Protection, Fraud Management, Payment Optimization and Chargeback Recovery. Forter's AI-based system is designed to help companies provide good customer experiences while minimizing fraud risk, and indeed it's helped companies cut chargeback rates by 72%.

Last, nudata Security combines behavioral biometrics and device data to assess user behavior and block potential fraud in real time. The company's platform offers accurate risk scores and is geared for financial services and eCommerce companies. It's designed to offer a good user experience while maintaining security.