Fraud and cybersecurity are often treated as separate problems, but in government programs they share the same data, controls, and weak points. This session explores how strong cybersecurity practices directly improve an organization’s ability to prevent, detect, and investigate fraud across benefits, payments, and other public‑sector services. Attendees will examine how identity and access management, logging and monitoring, incident response, and data governance create the foundation for modern fraud analytics and case detection. Using public‑sector–relevant scenarios, the session will highlight how gaps in basic security hygiene enable both cyber incidents and fraud schemes, and how closing those gaps generates higher‑quality data for anomaly detection and risk scoring. The session will also show how applying data analytics techniques, such as trend analysis, outlier detection, and correlation across systems can surface both cyber threats and fraudulent behavior from the same underlying logs, transactions, and identity records.