Consistent with USDA Secretary Rollins’ guiding principle to take swift action to minimize instances of fraud, waste, and program abuse in nutrition programs, the Supplemental Nutrition Assistance Program (SNAP) Fraud Framework Implementation Grant Program supports state agency efforts to improve and expand recipient fraud prevention, detection, and investigation efforts in SNAP.
On Monday, Sept. 29, 2025, we awarded approximately $5 million in SNAP Fraud Framework grants to fund innovative state projects designed to reduce SNAP recipient fraud and enhance program integrity using the procedures, ideas, and practices outlined in the SNAP Fraud Framework.
FY 25 Award Summaries
- Arkansas Department of Human Services ($590,040)
Deploy an advanced system to analyze electronic benefit transfer (EBT) card transactions and detect potential third-party fraud. Using data analytics and machine learning, the system will identify unusual patterns based on location and usage behavior, sending real-time alerts to households when suspicious activity occurs. - Georgia Department of Human Services ($748,673)
Enhance investigations through the implementation of a data-driven analysis of eligibility system case review requests and prioritize cases using risk scores and predictive models. Use social media channels to share resources for recipient education and provide training for state and staff members on fraud prevention initiatives. - Indiana Family and Social Services Administration ($617,337)
Implement a fraud referral case management system module within the existing eligibility system to automate and streamline the organization’s day-to-day business processes relating to SNAP fraud detection, investigations and integration with the benefit recovery process. - New Hampshire Department of Health and Human Services ($698,000)
Improve case management processes for the special investigations unit to enhance data quality and consistency, streamline reports for actionable insights, modernize enterprise content management and automate notice generation. - New Jersey Department of Human Services ($736,515)
Analyze EBT card transactions and detect potential third-party fraud using data analytics and machine learning to identify unusual patterns based on location and usage behavior, sending real-time alerts to households when suspicious activity occurs. - Tennessee Department of Human Services ($520,935)
Implement an automated fraud indicator within the state agency’s eligibility system to optimize fraud detection through data-driven automated alerts, advanced analytics, improved reporting, enhanced operational efficiency and reduce financial risk. - Washington Department of Social and Health Services ($748,805)
Pilot the following fraud prevention measures: Blocking out-of-state EBT transactions, enhancing Interactive Voice Response (IVR) security measures, and allowing bulk Personal Identification Number (PIN) deactivation of cards that have been identified as compromised.