Anti-Money Laundering (AML)Transaction Monitoring

Take a Holistic Approach to Modern Financial Crime Challenges

Rules-based legacy systems that use static data are not able to keep pace with the innovative and advanced techniques that criminals are using today. To be effective, financial institutions’ anti-money laundering (AML) systems must integrate advanced analytics, machine learning, and real-time data processing to quickly pivot to address new fraud threats.

Feedzai’s AML solution offers a modern approach to fraud and financial crime prevention by taking a holistic approach and blending rules and machine learning to detect criminal activity, reduce false positives, identify red flags, and improve alert prioritization.

Our new guide details how Feezdai’s AML Transaction Monitoring solution

• Employs rules and behavioral profiles to monitor known and suspicious transactions.
• Provides audit models to prioritize alerts, enabling compliance teams to focus on the most critical cases.
• Enables teams to seamlessly and automatically submit suspicious activity reports (SARs) with a fully integrated solution.

Ready to protect your bank and your customers? Get the solution guide now.