Why Document Verification and One-Time Passcodes Miss the Boat on Fraud Detection

Document verification and one-time passcodes can help authenticate account applicants but may not sufficiently prevent sophisticated fraud involving synthetic identities, first-party fraud, SIM-jacking, deepfakes, spoofing, and data-breach-enabled identity manipulation. Using the example of an 18-year-old applicant who later defaults after committing fraud, the discussion argues that conventional checks can overlook prior fraud associations, compromised phone ownership, device history, and other risk signals while also adding onboarding friction that may deter legitimate customers. Socure promotes a graph-defined, machine-learning-based identity verification approach that combines consortium feedback and decision-outcome data to assess identity attributes, behavioral patterns, transactions, devices, geolocation, and velocity anomalies. Its platform is presented as providing passive authentication and progressive risk controls, reserving document checks and manual reviews for higher-risk applicants in order to improve fraud detection, reduce customer friction, and lower operating costs.

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