This talk will be about understanding graph technology as a solution to detect transitive relationships between indicators of fraud, and help uncover new networks of fraudsters before they scale. We will talk about building an in house ecosystem that stores fraud events as graph data and emits graph features to power our fraud controls. We will end by discussing about scaling the technology to solve problems in multiple fraud domains and the challenges involved there.