Question: Is there a unified platform that can replace multiple tools for AML compliance, fraud prevention, and risk assessment?

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Flagright

If you're looking for a single platform to handle AML compliance, fraud prevention and risk assessment, Flagright could be a good option. Flagright is an AI-native platform for fintechs, banks and other financial services companies that includes automated case management, AI-based risk scoring, real-time transaction monitoring and a collaborative console. The company's AI algorithms are trained to spot potential risks and help with compliance, and the company promises a big reduction in manual work hours and false positives.

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Nasdaq Verafin

Another broad option is Nasdaq Verafin, a financial crime management platform that pools data from hundreds of companies for better security and efficiency. It includes machine learning and consortium analytics for fraud detection, targeted anti-money laundering and counter-terrorism financing management, and integrated case management. Verafin also lets financial services companies share sensitive information with each other, cutting down on false positives and speeding up investigations.

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SEON

SEON is a fraud prevention and AML compliance platform that uses modern digital footprinting and machine learning to help businesses spot fraud and prevent money laundering. It monitors user activity in real time, provides AI-powered insights and streamlines compliance processes. SEON is designed for a variety of industries and can be integrated through APIs or the AWS Marketplace, so it's a flexible option for companies of all sizes.

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Sardine

For a platform that offers detailed device intelligence and behavioral biometrics, check out Sardine. Sardine spots and stops a broad range of fraud, including identity fraud, account takeover and payment fraud. It uses machine learning models to predict fraud and offers a no-code rule editor and network graph for easy integration and customization. That makes Sardine a good option for banks, retailers and fintechs trying to cut down on false positives and get a better handle on risk operations.

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