How a Hybrid Anti-Fraud Approach Could Have Saved Government Benefit Programs More than $100 Million

About this paper

Snagging bad guys who commit fraud involves more than tracking down a single perpetrator. Professional crime rings are forming, and they regularly change tactics to elude law enforcement. Programs like federal food stamps are bilked by corrupt merchant criminal networks. While the federal food stamp program is the government’s largest, its staff of 40 USDA inspectors lacks support to effectively stem the tide of this lucrative criminal black market. This white paper outlines the SAS Fraud Framework, a multi-layered, hybrid fraud detection solution that detects fraud earlier, uses tactics like predictive modeling and delivers information in an easy-to-understand format. The paper includes a step-by-step overview of how this software can help stop federal food stamp fraud and how it can detect, prevent and manage all types of federal subsidy and loan program abuse in one integrated package.