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Datasheet

5 Tips to Improve Fraud Detection and Prevention With Data Streaming

Ever wonder if it’s possible to truly get ahead of fraud exposure without adding more operational data infrastructure costs? Modern fraud technology calls for a modern fraud detection approach, and that requires real-time data. Industry leaders from Capital One, RBC, and more are detecting fraud using data streaming to protect customers in real time.

Download our five-step checklist to see how data streaming can sharpen and speed up your fraud detection and prevention. Quit suffering the pains of revenue loss and get the most out of the valuable data you already have. In this checklist, get actionable advice from financial services leaders on:

  • How to approach fraud detection pipelines
  • How to match time frames with technology needs
  • Where historical and real-time data should come together
  • What to know about immutability and its role in fraud detection

Download the Datasheet

Additional Resources

cc demo
kafka microservices
Image-Event-Driven Microservices-01

Additional Resources

cc demo
kafka microservices
microservices-and-apache-kafka