$14.7 Trillion
early adopters.
10%+
3.5x
Consumer Lending
Fraud In Your Portfolio
Reduce Loan Losses
The Challenge
More and more, portfolio losses at lenders around the world are found to be not credit-based, but fraud-driven. Deliberate ‘low-and-slow’ attacks, synthetic identity fraud, identity theft, account takeovers, and loan-stacking are increasingly taking its toll.
The Solution
Fraud.net’s AI, analytics and data mining platform can uncover the problem and quickly remove common schemes and attack methods.
Employ comprehensive, multi-dimensional analytics and implement ‘early-warning’ monitoring to discover forms of fraud that have previously yet to be experienced.
Recommended Products & Solutions
A user-friendly case management portal that allows you to set your own rules and review transactions efficiently and accurately.
Machine learning models are expertly engineered with the nuances of your business and industry already built in.
Visualize your real-time data to extract actionable insights, isolate risk and improve your business processes.
Shield serves as your early warning system by detecting malicious bots, fraudsters and other bad actors as they arrive on your site.
Monitor third-party data sources to benchmark your company’s performance including risk intelligence on payment methods, dark web data, IPS vulnerabilities and marketing channels.
Confirm users credentials through login scoring, multi-factor authentication or out-of-band applications.
Reduce Fraud to Boost Loan Returns
Are new loans experiencing higher-than-average default rates, and are all of your experimentation with credit models doing little to improve loan losses?
New loan applications with social security numbers, credit agency scores, and all of the typical indicators of creditworthiness that a lender could gather, are no longer enough to thwart new forms of fraud.
The Network Effect
Broad-based attacks, schemes and strategies can be most effectively countered with a unified, technology-based defense adopted by all the potential targets – a massive cross-industry, cross-border collaboration at a scale that businesses (and fraudsters) have not yet experienced.
