Case Study: Arvato Integrates Machine Learning Models to Optimize Fraud Investigations

By Staff Writer
Learn how leading financial services provider Arvato used Fraud.net's machine learning models to optimize their fraud management:
“Collaborating with Fraud.net provided us with the opportunity to mature our fraud investigation processes. Our collaboration enabled us to reduce unneeded low-risk investigations and concentrate on high-risk transactions that saves us effort, time, and money.”

Results with our models:

  • 90% reduction of false positives
  • Increased productivity by prioritizing high-risk transactions
  • Greater investigation efficiency by reducing the need for reviews of low-risk transactions
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