Case Study: Global Financial Institution Uses Machine Learning to Prevent Loan Fraud

Learn how a leading global financial institution used Fraud.net to combat costly synthetic identity fraud:

“Fraud.net has the models, data sets, and data science team that helped us tackle new fraud schemes impacting our loan portfolio. We were impressed by the results of the pilot, and look forward to continuing to work together.”

Results with our fraud solution:

• Identified $70 million in high-risk loans, primarily attributed to synthetic identity fraud not previously detected by prior systems
• Flagged 170,000 additional accounts for potential fraud risk
• Fraud.net's model was implemented to augment existing strategies