The Threat of Credit Abuse | Protect Against First-Party Fraud

Credit Abuse Risk is a proprietary, machine-learning product designed to detect and mitigate first-party credit abuse fraud. It utilizes gradient-boosting methodology, leveraging unique insights from FCRA-regulated data. Credit Abuse Risk proactively identifies and flags applications from high-risk borrowers who may be using their real identity but with an intent to deceive or defraud for financial benefit.

Credit Abuse Risk provides a powerful, specialized layer of defense that works alongside existing risk frameworks. It is designed to capture specific indicators of potential fraud that are distinct from general creditworthiness, allowing for a more comprehensive view of an applicant.