General Dynamics Information Technology (GDIT) has introduced a new AI-driven Fraud, Waste, and Abuse (FWA) detection solution for use across federal agencies. The solution utilizes advanced artificial intelligence, machine learning, large language models, and natural language processing to help government organizations proactively identify and prevent improper payments. Designed

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for large-scale applications including healthcare claims, benefit payments, food safety, and financial fraud, the system can be tailored to meet specific agency mission requirements. This offering is part of GDIT’s broader Mission AI portfolio, aiming to provide federal health customers with a flexible and scalable tool to detect fraud faster and with greater accuracy.

With over 20 years of experience in fraud reduction, GDIT’s AI solution has helped federal health agencies achieve significant cost savings. Healthcare fraud alone may account for as much as 10% of the $4 trillion U.S. healthcare market, and GDIT’s AI technology has identified fraudulent activities with over 90% accuracy, outperforming traditional methods. Kamal Narang, Senior Vice President for Federal Health, highlighted, “We have combined advanced AI capabilities with over 20 years of deep mission expertise in reducing fraud to build this flexible, repeatable and ready-now solution for health customers. Agencies across the government can now use this solution to uncover fraud at scale—with the speed and accuracy they need to meet mission-critical goals.” 

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