When benefits fraud exploded during the pandemic, traditional detection methods simply couldn’t keep up. This paper shows how the New York Department of Labor leveraged AI and analytics solutions to identify over 1.5 million fraudulent claims and stop more than $33 billion in attempted theft. Learn how AI-driven insights help government agencies move beyond manual spreadsheets to faster, smarter fraud prevention. You’ll also get a look at how modern data tools protect legitimate claimants while strengthening public trust. Read more to find out how your organization can defend its benefits programs.
