How state and local agencies can get ahead of fraud starting with the data they already have

State and local agencies struggle to combat increasingly sophisticated fraud because critical information remains trapped in disconnected departmental silos, forcing investigators to react only after payments have been issued. By unifying these fragmented datasets, agencies can identify cross-program patterns and anomalies, enabling a proactive approach to preventing fraud across various services like unemployment, Medicaid, and SNAP.