If you're looking for a powerful system to spot and stop credit card fraud, Forter is a good option. Its Identity Intelligence platform uses AI and machine learning to spot fraud in real time, prevent fraud and recover chargebacks. It can help companies reduce risk and improve customer satisfaction with Identity Protection, Fraud Management and Payment Optimization. Forter has been shown to reduce chargeback rates by 72% and false declines by 46%, and it's used by companies including ASOS and Priceline.
Another option is IBM Security Trusteer, a cloud-based system that uses AI and machine learning to authenticate customers, spot fraud in real time and thwart attackers. It includes a range of products like Trusteer Pinpoint Detect and Trusteer Rapport that offer continuous digital identity assurance and fraud detection. IBM Security Trusteer has an average return on investment of 156% and a fraud detection rate of more than 90%, according to IBM. It's a good option for companies that want to improve their digital commerce operations.
If you're looking for something more specialized, Greip offers an AI-based fraud prevention service with modules for credit card fraud detection, BIN/IIN lookup and real-time monitoring. It offers different pricing tiers for different customers, so it's available to companies large and small. Greip's real-time dashboard and SDKs for common programming languages make it easy to integrate with existing systems, so you can spot fraud quickly.
Last, Riskified is designed to maximize revenue and minimize fraud with AI-powered risk intelligence. It spots fraud 2-3 times better than competitors by analyzing more than 480 data attributes, and it offers features like Chargeback Guarantee and Policy Protect. Riskified says ecommerce companies have achieved results including a 50% reduction in fraud costs and a 1.5% increase in transaction success, so it's a good option for companies that want to grow securely and profitably.