Socure, the leading AI-driven platform for digital identity verification, fraud prevention, and sanctions screening, today announced the launch of its Identity Manipulation Risk Score, the first-ever cross-industry predictive risk score designed to stop repeat first-party fraud abusers from exploiting the digital economy at scale.

This AI-powered capability is embedded within Sigma First-Party Fraud, Socure's innovative solution that leverages the largest cross-industry first-party fraud consortium to perform real-time analysis of dispute histories, payment denials, and account closures across millions of identities and billions of transactions. Socure's first-party fraud consortium spans major financial institutions, fintechs, payment platforms, sports betting companies and merchants providing an unmatched network of fraud intelligence from diverse sectors. Sigma First-Party Fraud provides organizations with critical risk signals, real-time risk monitoring and actionable intelligence to detect bad-faith actors at account opening and throughout the entire customer lifecycle.

A Breakthrough in First-Party Fraud Prevention

First-party fraud, or the use of one's own identity to open an account and commit a dishonest act for personal or financial gain, is costing businesses over $100 billion annually. Unlike third-party fraud, which involves stolen or synthetic identities, first-party fraudsters exploit their real, verified credentials, making it far more difficult to detect.  What's worse, in a recent survey Socure found that nearly half (49%) of those who committed first-party fraud in 2024 said they did so because they got away with it in 2023, proving that repeat abuse is a growing problem without a deterrent.

With the introduction of the Identity Manipulation Risk Score, organizations can now leverage Socure's Sigma First-Party Fraud solution to quantify the likelihood of identity manipulation at critical decision points, including account opening, high-risk transactions, and dispute resolution. Identity manipulation behaviors include consumers applying for services with different emails or phone numbers to exploit multiple organizations using their own true identity. By leveraging real-time signals from 210M+ contributed identities, 325M+ accounts, and over 20 billion transactions, Sigma First-Party Fraud enables fraud teams to detect early indicators of abuse, predict bad-faith behavior, and prevent repeat fraud before it escalates.