If you're looking for a competitor to LexisNexis Risk Solutions, Nasdaq Verafin is a financial crime management system that collects data from hundreds of sources to help banks and other financial institutions improve security and efficiency. It includes fraud detection, anti-money laundering and counter-terrorism financing controls, and high-risk customer management with machine learning and AI tools to cut down on false positives and automate investigations.
Another option is Flagright, an AI-first AML compliance and fraud prevention system used by fintechs, banks and other financial services companies. It includes automated case management, AI-based risk scoring, real-time transaction monitoring and a collaborative console. The system promises to improve AML compliance and fraud prevention with more sophisticated AI models and to cut manual work hours and false positives.
If you're looking for a more fraud prevention oriented system, Sardine has a range of fraud detection tools, including deep device intelligence, behavioral biometrics and machine learning models trained on more than 4,000 features. The system is designed to cut down on false positives and automate risk operations, and it's a good option for banks, retailers and fintechs that want to improve their fraud prevention.
Last, Riskified is a fraud and risk intelligence system geared for e-commerce companies. It uses AI to try to maximize revenue while minimizing fraud, and it says its system approves more transactions and catches more fraud than competitors. It includes features for comprehensive fraud protection, chargeback management and revenue recovery, and it's a good option for companies that rely on e-commerce.