Socure Solution Insights: Preventing Digital Fraud Attacks with Enhanced Email RiskScore Models and Generative AI

Socure’s Email RiskScore v10.1 uses generative AI and natural language processing to improve digital fraud detection for financial institutions and merchants, reporting an approximately 4% reduction in false positives and a 2–6% increase in name-email correlation compared with previous versions. The system evaluates email-handle “perplexity” against patterns learned from billions of legitimate email addresses, flagging nonsensical, randomized, fake, or otherwise atypical handles as higher risk. It also incorporates domain analysis, fake and test email detection, fuzzy identity matching, and other identity attributes to assess email legitimacy. Explainable scores and reason codes are intended to provide customers with greater transparency, while the company says the enhanced model can help prevent more fraud and improve approval rates.

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