DoorDash has developed an anomaly detection platform to proactively identify emerging fraud trends within their delivery system. By analyzing millions of user segments and employing metrics and dimensions, the platform can surface potential fraud patterns before they escalate into significant losses. The system aims to enhance fraud detection efficiency and supports ongoing expansion to cover more business applications.

Effective fraud teams leverage scattered data by transforming it into actionable insights through a signals-based approach. This guide outlines key questions to ask about risk signals, methods to detect AI-generated fraud, and best practices for designing a secure onboarding flow.