For banks and fintechs that want to cut down on false positives and get their risk operations running more smoothly, Sardine is a fraud prevention and compliance platform. It combines deep device intelligence, behavioral biometrics and machine learning models to spot fraud patterns. It's got modules for identity fraud prevention, account takeover, payment fraud and other types of fraud, and can be customized in many ways. It also comes with a no-code rule editor, network graph and instant ACH settlements that make it easier to set up and fine-tune for low engineering overhead.
Another powerful option is Nasdaq Verafin, a financial crime management platform that pools data from hundreds of customers for better security and efficiency. It includes machine learning and consortium analytics for fraud detection, targeted AML and CFT management, and secure 314(b) sharing for collaborative investigations. Nasdaq Verafin's sophisticated analytics and AI can help cut false positives and speed up investigations, helping you meet regulatory requirements while improving financial crime management.
Flagright is an AI-native AML compliance and fraud prevention platform for fintechs and banks. It includes automated case management, AI-based risk scoring, real-time transaction monitoring and a collaborative console. Flagright says it reduces manual task hours by 40%, false positives by 80% and productivity by 200%, and offers a complete solution for AML compliance and fraud prevention.
Last, SEON offers advanced digital footprinting and machine learning for fraud prevention and AML compliance. It includes real-time user activity monitoring, AI-powered insights and customizable rules. SEON is designed to automate fraud checks and reduce manual reviews, helping businesses of all sizes stay compliant while working efficiently to prevent fraud. More than 5,000 online businesses use SEON, so it's a scalable fraud prevention option.