A single high-value fraudulent electronic funds transfer could compromise a financial institution and even undermine the global financial system. The ability to rapidly detect criminal activity in electronic payments is critical.
Payment Fraud Manager from Fiserv monitors electronic payments for fraudulent activity in real time across multiple channels. It is the most comprehensive solution available, using advanced inference techniques to identify and prevent fraudulent transactions.
Payment Fraud Manager deploys analytics and risk-scoring models that enable fraud investigators to prioritize highest-risk transactions for review. All data needed to process suspicious payments is available at their fingertips, enabling your organization to rapidly adapt risk management strategies as new fraud patterns emerge.
Instantly suspend suspicious payments before losses are incurred using real-time detection and interdiction
Control every aspect of risk according to each organization’s risk tolerance using supporting scenarios, scorecards and case management
Respond to threats quickly with powerful, easy configuration
Payment Fraud Manager monitors batch and bulk payment files and individual electronic funds transfer transactions from any initiation channel, including online payments, and across payments and messaging infrastructures such as SWIFT, Fedwire, SEPA and ACH.
Payment Fraud Manager also detects many different attack vectors, including batch file manipulation, cybercrime, account takeover and internal fraud.
Payment Fraud Manager is the industry's most comprehensive cross-channel monitoring and interdiction solution for electronic payments, enabling identification and prevention of electronic payment fraud, including wire fraud, before the transaction leaves your institution.
Learn about five technologies that can help detect and prevent financial crime in banking, including blockchain, biometrics and artificial intelligence.
Accurate data that cannot be manipulated is crucial to preventing financial crime. If your fraud or anti-money laundering (AML) program is undermined by poor data, then your organization becomes vulnerable.
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