A data analysis technique that models relationships between entities—such as customers, accounts, devices, addresses, and transactions—as a network graph to uncover hidden connections and patterns indicative of fraud or money laundering. Graph analytics excels at detecting fraud rings, mule networks, and collusive behavior that are invisible when analyzing individual transactions in isolation.