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Online Talk

How to Build a Context-Aware, Real-Time Fraud Detection Solution in Confluent

Available On-Demand

When it comes to fraudulent activity, knowing your customer, knowing your organization’s knowledge gaps, and knowing where bad actors are likely to attack is critical. But in reality, fraud solution teams have challenges pulling all the required data elements together to create context and insights early enough in the life cycle of their data to effectively combat fraud. Join us on March 30 as we demonstrate that adopting event-driven data architectures is the key to unlocking new methods in the war against financial crime.

In this webinar, we’ll show you how to leverage Confluent’s event-driven data streaming platform to harness the right contextual data, at the right time:

  • Explore the untapped business value of building better data solutions in fraud detection and prediction for real-time response
  • Learn how to architect predictive fraud detection with stream processing flows in Confluent, using highly contextual data and risk indicators
  • Demo in-stream detection and analysis of compromised account activity, in an “account takeover” scenario

Watch On-Demand!


Duncan Ash

Global Industries, Vice President, Confluent

Peter Pugh-Jones

Director of Financial Services

Watch Now

Additional Resources

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

Additional Resources

cc demo
kafka microservices