Sigma Identity Fraud
Understand Sigma Identity Fraud risk scores, reason codes, and machine learning models that detect stolen identities and maximize auto-approvals.
How it works
The Sigma Identity Fraud product returns the following outputs:
Fraud Risk Scores
The fraud risk score is a probabilistic value between 0.001 and 0.999 that predicts the inherent fraud risk associated with the input PII. A higher score indicates a greater likelihood of fraud.
The scores are uniformly normalized across Socure's network. This means that a score of 0.800 indicates that the consumer is riskier than 80 percent of all consumers or less risky than 20 percent of consumers. In general, consumers with scores equal to or greater than 0.900 represent high risk.
For most integrations, the response returns a single score, but the API can return more than one score. Your account team coordinates this when necessary and is typically used during upgrades to newer model versions.
Note:
In addition to the model score, a name and a version will also be returned for each score. These values are returned for auditing and to differentiate between models when multiple scores are returned.
Reason Codes
The reason codes in the response provide detailed information to help you understand the factors that influenced the fraud risk score. Reason codes are boolean indicators of conditions that were applicable to the consumer and can be used to refine decisioning workflows.
View all reason codes
For the complete catalog of reason codes and their descriptions, open the Reason Codes page in the RiskOS™ Dashboard:
| Environment | Dashboard link |
|---|---|
| Sandbox | Go to Sandbox Dashboard |
| Production | Go to Production Dashboard |
Updated 12 days ago
