Powering Financial Fraud Detection and Prevention with In-Memory Computing


Financial fraud detection and prevention is not a simple task, and firms must tackle it simultaneously with other crucial tasks such as ensuring regulatory compliance. To accomplish these data-intensive tasks in a timely manner, financial firms need solutions that are flexible, scalable, reliable, and fast enough to analyze extremely large datasets in real-time.

Fortunately, today’s in-memory technologies provide powerful tools for detecting and preventing fraud – tools that perform complex processing, modeling, and analysis of big data in real-time. This white paper will discuss what financial fraud is, how financial services firms are addressing the problem, and why in-memory computing technologies such as the GridGain in-memory computing platform are perfectly suited to the task of detecting and preventing financial fraud wherever it occurs.