Bringing real-time fraud prevention to government benefits
Federal agencies face annual fraud losses of up to $521 billion, with $186 billion in improper payments reported in fiscal 2025 alone. Traditional "pay and chase" models are slow and ineffective, but real-time fraud detection using AI and analytics can now evaluate transactions instantly without delaying benefits.
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The Government Accountability Office estimates federal fraud losses between $233 billion and $521 billion annually, with $186 billion in improper payments reported in fiscal 2025. Agencies struggle to balance rapid benefit delivery with fraud prevention, as traditional post-payment detection methods often fail to recover funds. Fraudsters exploit this gap using shell companies, stolen identities, and shifting tactics, making real-time intervention critical to protect public programs like Medicare, Medicaid, and unemployment insurance.
Advances in AI, real-time analytics, and comprehensive data access now enable agencies to evaluate transactions as they occur, without delaying aid to legitimate recipients. Databricks provides a data and AI platform that supports intelligent risk scoring, entity resolution, behavioral analysis, and machine learning to identify suspicious activity before funds are disbursed. The technology, already used by banks and retailers to block fraudulent transactions in milliseconds, can similarly score claims the instant they are submitted, holding payments before any funds move.
Fraudsters often operate across multiple agencies, exploiting silos where each program sees only its own data. Databricks enables cross-agency collaboration through OpenSharing and Clean Rooms, which allow real-time data exchange without copying or exposing raw data. This shared intelligence sharpens detection models, increases fraud identification rates, and reveals schemes no single agency could detect alone, all while maintaining strict data privacy and governance controls.
Databricks integrates fraud detection with enforcement actions, enabling agencies to hold suspicious payments, add confirmed fraudsters to the Do Not Pay list, and generate prosecution-ready evidence packets with AI summaries and cryptographically signed audit trails. Human oversight remains central, with designated personnel authorizing referrals and documenting each step. The platform, proven at scale with 160 billion annual card payment screenings, is now available for federal benefits, offering real-time protection without disrupting legitimate aid delivery.