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
Utilizing sophisticated machine learning models and trained with consortium data from across the industry, Socure's Sigma Synthetic pinpoints synthetic fraud patterns to accurately identify risk - within milliseconds.Schedule a Demo
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.