Real-Time Fraud Detection in Banking with Kafka
Banks handle thousands of transactions every second, making fraud prevention a critical challenge.
Nyan
5/8/20241 min read
Banks process thousands of transactions every second. To stop fraud in real time, they use Apache Kafka, a system that quickly moves data between different parts of the bank.
How It Works:
Kafka collects transaction data from ATMs, mobile apps, and online banking.
The data is analysed instantly to spot unusual patterns.
If fraud is detected, Kafka triggers actions like blocking the transaction or alerting the customer.
This helps banks prevent fraud immediately, keeping customer accounts safe.