Introduction

Ever wondered how banks are able to detect and stop fraud in real-time? This is how they do it.

Banks process thousands of transactions every second, end each transaction is recorded in backend systems as it happens. Instead of relying on traditional batch processing, With Kafka they are able to stream/read all these new events that are being recorded in backend systems. These events are then consumed by processing services that apply fraud detection rules, analyze patterns and flag suspicious activities. With this, in a matter of seconds, they are able to determine if your transaction is fraudulent or not and r the result stored on downstream systems for immediate action.

what is event streaming?

Event streaming is the practice of capturing data in real-time from sources like databases, sensors, cloud services and software applications in the form of streams of events, storing these streams durably for later retrieval and routing the event streams to different destination technologies as needed.