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Sigma Synthetic provides a model trained exclusively to predict synthetic identities.

Sigma Synthetic is purpose-built and trained with consortium data from our largest financial institutions to tackle targeted fake, randomized and synthetic patterns to produce highly accurate real-time actionable reason codes and risk scores.

97.3% Area Under the ROC Curve

90% Auto-Capture in the
Riskiest 3% of Users

  • Header, Utility, Telco, Energy and Public Records data power Socure’s real-time identity verification and risk detection.

  • Innovative unsupervised clustering techniques to determine well-labeled synthetics vs not utilizing Socure’s proprietary network of performance data.

  • Network consortium feedback constantly improves model training and management of emerging threats across various industries and channels.

  • Innovative graph-based techniques extracting topological, velocity and PII interaction features.

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