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Fraud Detection

Fraud detection is a method for analyzing transactions to detect patterns that indicate behavior that can result in a loss of money, property, or paid services. Detecting anomalies that signal fraud in real-time and stop fraudulent transactions can be done by streaming transaction data. By inspecting, correlating, and analyzing the data, fraudulent transactions can be stopped as they occur by:

  • Creating and InfinyOn Cloud topic with transaction data
  • Using a connector to stream account data
  • Join transaction data with account data to surface fraudulent transactions

How do we solve this?

InfinyOn Cloud facilitates fraud detection by collecting data from endpoints in any geo-location with fast and efficient single digit millisecond latency. Spin up a cluster, select source and sink connectors from our catalog, configure producers and consumers, then create a topic for streaming data. SmartModules can be set up in order to aggregate, filter or map streaming data. InfinyOn Cloud makes it simple to set up, deploy and manage your cluster.

Developers can use Fluvio open-source software that offers built-in packaging for multiple operating systems, from Raspberry PI to various Linux distributions. Support for the most common programming languages makes it easy to build custom connectors to virtually any server or data store for fraud detection.