Socure Sigma Fraud Suite
Socure’s Sigma Identity Fraud is the industry’s most accurate identity fraud solution, utilizing every dimension of consumer identity—name, email, phone, address, IP, device, velocity, network intelligence, and much more—all in a single machinelearning (ML) model. These models are trained to detect attempted fraud patterns across a broad set of Socure’s customers, enabling Socure to deliver the most robust, inclusive, and accurate fraud prediction on the market. Sigma Identity Fraud models achieve the highest fraud capture rates along with the lowest false positive rates in the industry, consistently capturing fraud in the riskiest 3% population by up to 90%.
Sigma Synthetic Fraud is purpose built and trained with consortium data to tackle fake and randomized synthetic patterns to produce highly accurate, real-time, actionable risk scores and reason codes, with 90% auto-capture in the riskiest 3% of users. Sigma Device predicts risk associated with a device using data attributes such as IP, geolocation, device type, and device software.
Sigma Device is the first application fraud solution that “binds” a device to the individual using the device to counter application fraud and validate constituent logins.
Email, Phone, and Address Risk Scores provide a risk score and a correlation value for email adddress, phone numbers, and physical address. Risk Scores use ML models trained on email, phone and address-specific variables layered with 800 million rows of known good and known bad outcomes to predict the liklihood of fraud. The correlation value is a discrete value that indicated the relationship between the constituent name and either the email, phone number, or physical address....
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