---
title: "Bringing real-time fraud prevention to government benefits"
description: "Federal benefits programs face an estimated $233 billion to $521 billion in annual fraud losses and roughly $186 billion in improper payments in fiscal 2025, while pre-payment vetting can delay legitimate aid. The post presents real-time detection as an alternative to “pay and chase,” combining rules engines, machine learning, adaptive and generative AI, entity resolution, behavioral analysis, and graph analytics to score claims before disbursement. It says Databricks can unify these layers and enable cross-agency sharing through OpenSharing, data masking, and Clean Rooms while retaining governance and data ownership. When fraud is detected, the platform can hold payments, add confirmed fraudsters to Do Not Pay, and assemble statute-linked evidence packets with digitally signed audit trails, while designated personnel authorize referrals. The source concludes that this model is ready for implementation at national scale, citing Databricks’ stated processing of 160 billion card payments annually in milliseconds."
---

# Bringing real-time fraud prevention to government benefits

[Databricks](https://yomu.fyi/company/databricks) · Mike McWhorter, Johnathan Tafoya, Stephen Hutson · Jul 29, 2026

**Type:** Problem & solution

## Summary

Federal benefits programs face an estimated $233 billion to $521 billion in annual fraud losses and roughly $186 billion in improper payments in fiscal 2025, while pre-payment vetting can delay legitimate aid. The post presents real-time detection as an alternative to “pay and chase,” combining rules engines, machine learning, adaptive and generative AI, entity resolution, behavioral analysis, and graph analytics to score claims before disbursement. It says Databricks can unify these layers and enable cross-agency sharing through OpenSharing, data masking, and Clean Rooms while retaining governance and data ownership. When fraud is detected, the platform can hold payments, add confirmed fraudsters to Do Not Pay, and assemble statute-linked evidence packets with digitally signed audit trails, while designated personnel authorize referrals. The source concludes that this model is ready for implementation at national scale, citing Databricks’ stated processing of 160 billion card payments annually in milliseconds.

## Context

Federal benefits programs must deliver assistance quickly at enormous scale, making comprehensive pre-payment vetting difficult without delaying legitimate recipients. The post describes the resulting reliance on after-the-fact “pay and chase” investigations, which are slow and rarely recover fraudulent funds, while fraudsters move across agency and program boundaries.

## Approach / What changed

Use a layered real-time fraud system combining rules engines, machine learning, adaptive and generative AI, entity resolution, behavioral analysis, and graph analytics. Databricks supports cross-agency signals through OpenSharing, data masking, and Clean Rooms, then connects detection to payment holds, Do Not Pay updates, evidence generation, audit trails, and human-authorized referrals.

## Takeaways

- Rules engines can quickly catch obvious cases, while machine learning and adaptive AI identify changing behavioral patterns and score risk more precisely.
- OpenSharing, data masking, and Clean Rooms allow agencies to share fraud signals or collaborate on protected records without copying raw data or exposing personal details.
- Detected cases can trigger payment holds and prosecution-ready evidence packets, but designated personnel formally authorize referrals and remain in the decision process.

**Tags:** [AI Governance](https://yomu.fyi/topic/ai-governance), [Databricks](https://yomu.fyi/topic/databricks), [Machine Learning](https://yomu.fyi/topic/machine-learning), [Privacy](https://yomu.fyi/topic/privacy)

- Source: [Databricks](https://www.databricks.com/blog/bringing-real-time-fraud-prevention-government-benefits)
- Source URL: https://www.databricks.com/blog/bringing-real-time-fraud-prevention-government-benefits
- Ingested by Yomu: 2026-08-30T16:52:47.952Z

[Read original post](https://www.databricks.com/blog/bringing-real-time-fraud-prevention-government-benefits)