Sigma Fraud Score

Socure’s breakthrough Sigma Fraud Score (SFS) solutions are machine learning models trained with detailed performance data across a consortium of clients for identity fraud risk prediction. By using consortium data sets, hence the name Sigma, models can be trained on confirmed fraud instances across a broad set of Socure’s customers delivering the most robust, comprehensive & accurate models attainable in the market today. Sigma Fraud Score models achieve the highest fraud capture rates with the lowest false positive rates available in the industry, consistently capturing >70% of the riskiest 2-3%.

Read more in our fact sheet.