Anti-Money Laundering Transaction Monitoring

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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.

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Uncover Your Hidden Fraud Risk

and Save Money

Don’t let outdated, legacy fraud detection solutions cost you.
Most systems are blind to the subtle patterns and emerging threats that cost businesses millions, but Feedzai goes deeper.

We’ve successfully replaced every major provider, reducing fraud losses each time. Schedule a free risk assessment, and we’ll uncover hidden vulnerabilities in your current defenses, revealing the true cost of fraud to your business.

Schedule Risk Assessment

Page printed in December 22, 2024. Plase see https://www.feedzai.com/resource/anti-money-laundering-transaction-monitoring for the latest version.