Case Study: New York State Department of Labor prevents billions in benefits fraud with Splunk

New York State Department of Labor prevents $32 billion in attempted theft with Splunk

The New York State Department of Labor (DOL) faced a massive surge in fraudulent benefits claims during the pandemic, with attempts jumping from 94 in 2019 to over one million by 2021. The agency struggled with manual processes that were ineffective against AI-driven fraud tactics, while needing to protect billions in public funds. To overcome this challenge, the DOL turned to Splunk for a modern solution.

Splunk implemented its Splunk App for Fraud Analytics, which uses AI and data analytics to automatically detect patterns and anomalies in large data sets. This solution allowed investigators to identify suspicious claims quickly. As a result, the New York State DOL, using Splunk, proactively identified over 1.5 million fraudulent claims and prevented more than $32 billion in attempted theft, dramatically improving the speed and efficiency of its fraud risk management.

New York State Department of Labor