Detecting the undetectable: Building a fraud detection framework with Elastic

This article details how organizations, particularly in the public sector, can leverage the Elastic platform to build a comprehensive fraud detection framework. It highlights a three-pronged approach: using detection rules for known fraud patterns, machine learning to identify unusual activity, and Attack Discovery (powered by LLMs) to uncover complex, coordinated fraud that would otherwise go unnoticed. By utilizing these native Elastic features, organizations can consolidate tools, improve ROI, and proactively combat increasingly sophisticated fraud, especially with the rise of generative AI.