Fraud Management: A Machine Learning Approach

Thanks to machine learning’s ability to sift through billions of data points and find hidden patterns, it has the potential to revolutionise fraud management. But like any fraud management tool, it must be properly configured and deployed to be effective. Failure to do so can result in lower sales and lower fraud detection rates.

Download this Whitepaper,  written by Andrew Naumann, VP CyberSource Fraud Management Solutions and former Amazon® and Microsoft® fraud operations manager, and Scott Boding, fraud modelling expert, who will share how machine learning can help:
  • Support real-time decision-making with greater accuracy
  • Accelerate your response to evolving fraud tactics
  • Reduce costly false-positives and the need for manual reviews