Detecting the undetectable: Building a fraud detection framework with Elastic

Public sector organizations are leveraging Elastic's comprehensive data platform to address fraud detection challenges by utilizing its native features like detection rules, anomaly detection jobs, and Attack Discovery. These tools help identify known fraud patterns, uncover unusual activities, and reveal complex, coordinated behaviors that are difficult to anticipate. During the pandemic, the critical need for proactive fraud detection became evident when the U.S. Department of Labor estimated that fraud accounted for a significant percentage of unemployment insurance benefits. Elastic's platform allows for the creation of custom detection rules and machine learning jobs tailored to specific use cases, providing a holistic fraud detection framework. This approach is particularly beneficial for smaller state, local, and educational agencies already using Elastic for other purposes, as it can help consolidate tools, reduce technical debt, and increase return on investment. As fraud becomes more sophisticated with the rise of generative AI, Elastic's platform offers a flexible and scalable solution for detecting, preventing, and responding to fraudulent activities.