Credit Union Taps Jack Henry for Fraud Mitigation

- Jack Henry's platform, Financial Crimes Defender, was developed with data science company Feedzai and is a cloud-native solution that provides real-time fraud and Anti-Money Laundering (AML) monitoring. It leverages AI and machine learning to analyze transactions, including checks, ACH, and instant payments, before they leave the institution. - The platform employs a network-level intelligence approach, analyzing data across all participating financial institutions to identify broader fraud patterns that wouldn't be visible to a single credit union. This collective defense model is designed to improve the precision of fraud detection rates. - For SELCO, a credit union with over 150,000 members and more than $2.8 billion in assets, this move addresses a significant industry-wide challenge. In a recent benchmark report, 79% of credit unions and community banks reported fraud losses exceeding $500,000, the highest of any group surveyed. - The adoption of AI-driven platforms is a direct response to the increasing sophistication of financial crimes, such as AI-powered deepfakes, which are predicted to drive fraud losses in the U.S. to $40 billion by 2027. Account takeover fraud alone cost U.S. consumers $15.6 billion in 2024. - A key feature of the Financial Crimes Defender platform is its use of a public cloud architecture, which reduces the infrastructure maintenance burden on a credit union's internal technology teams. This allows for more open integrations and faster innovation cycles. - The system also directly integrates the Federal Reserve's FraudClassifier tool, which helps standardize the classification of fraudulent activities involving ACH, wire, and check payments across the industry. - Beyond fraud detection, the platform is designed to streamline compliance with the Bank Secrecy Act (BSA) by bundling fraud and AML solutions to automate the generation of Suspicious Activity Reports (SARs) and Currency Transaction Reports (CTRs).