If you're in the market for a powerful financial fraud detection software that uses machine learning to safeguard customers from fraud and financial crime, Feedzai is a good option. The company's sophisticated platform offers a range of tools, including account opening risk assessments, digital trust through behavioral and device biometrics, transaction fraud monitoring and AML transaction monitoring. The tools can be used by companies in the retail banking, fintech and payment service provider sectors to offer frictionless account opening and digital trust while also detecting fraud at scale.
Another strong contender is Nasdaq Verafin. The platform pools data from hundreds of institutions for better security and efficiency. Verafin's sophisticated analytics and AI technology can be used for fraud detection, anti-money laundering (AML) and counter-terrorism financing (CFT) management, and high-risk customer management. The platform's lower false positives, streamlined investigations and better regulatory reporting make it a good option for financial institutions and credit unions.
If you're looking for a cloud-based option, IBM Security Trusteer offers AI-based fraud detection and customer authentication. With features like real-time fraud detection, identity risk assessment and compromised device detection, Trusteer is designed to provide customers with a frictionless experience while helping to prevent unauthorized access. Its suite of products, including Trusteer Pinpoint Detect and Trusteer Rapport, can help protect digital logins and transactions.
Another contender is Flagright, which specializes in AI-native AML compliance and fraud prevention. Flagright's platform includes automated case management, AI-based risk scoring, real-time transaction monitoring and customer risk assessment. The company's sophisticated AI algorithms can help spot potential risks and improve compliance, making it a good option for fintechs and financial services companies looking to improve fraud prevention.