Fraud detection becomes increasingly challenging in a digital world across all industries. Real-time data processing with Apache Kafka became the de facto standard to correlate and prevent fraud continuously before it happens. This article explores case studies for fraud prevention from companies such as Paypal, Capital One, ING Bank, Grab, and Kakao Games that leverage stream processing technologies like Kafka Streams, KSQL, and Apache Flink.
Fraud Detection and the Need for Real-Time Data
Fraud detection and prevention is the adequate response to fraudulent activities in companies (like fraud, embezzlement, and loss of assets because of employee actions).