Question: Can you recommend a fraud detection solution that analyzes behavioral data to prevent online fraud?

For a more general-purpose fraud detection system that can evaluate behavioral data, JuicyScore is worth a look. This system offers both device risk assessments and online-user protection through the analysis of non-personal and behavioral data. It gathers more than 50,000 parameters from each device to assess user behavior, network data and device attributes to identify high-risk customers, flag suspicious activity and cut logistics costs. JuicyScore is geared for companies like financial services, e-commerce, insurance and travel.

Another serious contender is IBM Security Trusteer, a cloud-based system that uses AI and machine learning to authenticate customers, prevent fraud and thwart attackers. Features include real-time fraud detection, identity risk assessment and detection of compromised devices. Trusteer's products are designed to deliver a frictionless customer experience while minimizing unauthorized access, making it a good option for companies that want to improve digital security.

Sift is another serious AI-powered fraud decisioning platform that can help businesses grow without sacrificing trust. It tackles fraud problems like account takeover and payment fraud with user-level signals across the user journey. Among its features are Account Defense, RiskWatch, Workflow Simulation and FIBR. Companies that use Sift have reported a big improvement in review efficiency and a reduction in fraud losses for digital businesses.

If you're looking for something more specialized, Forter offers real-time identity intelligence to cut risk and boost customer trust. Its system includes Identity Protection, Fraud Management, Payment Optimization, Chargeback Recovery and Abuse Prevention. Forter has shown a notable reduction in chargeback rates and false declines, so it's a good option for e-commerce companies.