Fraud.net is an AI-driven platform designed for fraud, risk, and compliance teams across various industries, including payments, banking, fintech, and digital commerce. This subscription-based service leverages sophisticated machine learning models to analyze billions of transactions, enabling real-time threat prevention and compliance management. Key features include comprehensive screening for onboarding, continuous monitoring to identify emerging threats, and precision fraud detection across multiple channels and payment types. The platform aims to significantly reduce false positives and enhance visibility within fraud detection processes.

The platform supports integration with various data sources and offers no-code/low-code options for effortless scaling. Users report remarkable outcomes, including an 80% reduction in fraud losses and a 97% decrease in false positives. Fraud.net caters to a diverse audience, including mid-size businesses, enterprises, and nonprofits, and provides support in both English and Spanish. The inclusion of training resources and a free trial further enhances its accessibility for potential users.