If you're looking for a platform that fintechs and banks can use to automate AML compliance and fraud prevention, Flagright is a good choice. It's an AI-native system with automated case management, real-time transaction monitoring and AI-based risk scoring. Flagright's algorithms are designed to spot complex patterns, and the result is a big reduction in the time humans have to spend on compliance.
Another option is Sardine, a fraud prevention and compliance system for banks, fintechs and retailers. It's based on machine learning models trained on 4,000 features to spot fraud, and it includes modules for identity fraud, account takeover, payment fraud and AML. The system also includes deep device intelligence and behavioral biometrics for risk operations and to cut down on false positives.
Nasdaq Verafin is a financial crime management system that pools data from hundreds of institutions for better security and efficiency. It's got machine learning and consortium analytics for fraud detection and targeted analytics for AML and CFT. The system's high-risk customer management and automated segmentation can help cut down on false positives and improve regulatory reporting.
For a more scalable system, check out SEON, which uses digital footprinting and machine learning to prevent fraud and automate AML compliance. SEON monitors user activity in real time and uses AI to spot fraud. It can be integrated through APIs or AWS Marketplace, so it should work for companies large or small that want to improve their compliance.