Examine identities and behavior to pinpoint fictitious customers
Today, fraudsters are creating identities comprised of fabricated data elements or a compilation of multiple real identity elements, with the intent to use the synthetic identity to open fraudulent accounts. In fact, it’s estimated that synthetic fraud now makes up 85% of all first-party fraud*. And while every business understands how important it is to detect new account fraud early, there’s also pressure to make fast decisions and increase approval rates, all while providing a seamless customer experience and remaining compliant.
TransUnion’s Synthetic Fraud Model is specifically built to analyze consumer behaviors by uncovering anomalies or suspect patterns in account openings, authorizations and associated trades – across all lines of business, including credit card, auto loans, personal loans and more. Our model helps detect this costly type of fraud before a fraudster “cashes out.”
*Synthetic Identity Fraud, ABC News 2015
FCRA compliant – helps to withstand model governance reviews
Easily integrated into customer operations and workflows – delivered via batch or real-time
Incredibly low false/positive rates, minimizing the potential impact to any good applicants or back office review queues