--- title: Bringing real-time fraud prevention to government benefits description: Federal benefits programs lose hundreds of billions annually to fraud, largely because traditional 'pay and chase' models detect fraud after funds are... canonical: https://daily.dev/posts/bringing-real-time-fraud-prevention-to-government-benefits-twjm4vdeu twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Bringing real-time fraud prevention to government benefits | daily.dev og:description: Federal benefits programs lose hundreds of billions annually to fraud, largely because traditional 'pay and chase' models detect fraud after funds are... og:url: https://daily.dev/posts/bringing-real-time-fraud-prevention-to-government-benefits-twjm4vdeu og:image: https://api.daily.dev/og/posts/tWJm4vdeU.png og:image:alt: Bringing real-time fraud prevention to government benefits og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Bringing real-time fraud prevention to government benefits **[databricks](https://daily.dev/sources/databricks)** · 5 min read · 0 upvotes · 0 comments ## Summary Federal benefits programs lose hundreds of billions annually to fraud, largely because traditional 'pay and chase' models detect fraud after funds are disbursed. Databricks outlines a layered real-time fraud prevention approach using rules engines, entity resolution, graph analytics, behavioral analysis, and machine learning to score claims at submission time. A key advantage is cross-agency data sharing via Delta Sharing and Clean Rooms, which lets agencies pool fraud signals without copying or exposing raw data. The platform also automates prosecution-ready evidence packets with cryptographically signed audit trails, while keeping humans in the loop for final authorization. Over 80% of federal executive departments already use Databricks, making adoption feasible without major new infrastructure. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Operationalizing AI for public sector fraud prevention](https://daily.dev/posts/operationalizing-ai-for-public-sector-fraud-prevention-kmxinuxu7) · databricks · 0 upvotes · 0 comments - [How state and local agencies can get ahead of fraud starting with the data they already have](https://daily.dev/posts/how-state-and-local-agencies-can-get-ahead-of-fraud-starting-with-the-data-they-already-have-nawfwspew) · elastic · 0 upvotes · 0 comments - [Fraud Prevention with BigQuery Graph](https://daily.dev/posts/fraud-prevention-with-bigquery-graph-ijwfemqda) · Google Cloud · 0 upvotes · 0 comments - [Fighting Fraud at Scale: Insights from building a real-time rules engine](https://daily.dev/posts/fighting-fraud-at-scale-insights-from-building-a-real-time-rules-engine-4hozdnao6) · Doordash · 0 upvotes · 0 comments - [How to Build Real-Time Fraud Detection using Spark Real-Time Mode and Lakebase](https://daily.dev/posts/how-to-build-real-time-fraud-detection-using-spark-real-time-mode-and-lakebase-wjxnughd5) · databricks · 3 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#databricks](https://daily.dev/tags/databricks), [#fraud-detection](https://daily.dev/tags/fraud-detection), [#real-time-analytics](https://daily.dev/tags/real-time-analytics) [View this post on daily.dev](https://daily.dev/posts/bringing-real-time-fraud-prevention-to-government-benefits-twjm4vdeu) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Bringing real-time fraud prevention to government benefits","url":"https://daily.dev/posts/bringing-real-time-fraud-prevention-to-government-benefits-twjm4vdeu","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/bringing-real-time-fraud-prevention-to-government-benefits-twjm4vdeu"},"datePublished":"2026-07-29T17:50:46.877Z","dateModified":"2026-07-29T17:51:08.844Z","description":"Federal benefits programs lose hundreds of billions annually to fraud, largely because traditional 'pay and chase' models detect fraud after funds are...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/ac71c76d7dc931e1bb07ae3e5f90c903?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/ac71c76d7dc931e1bb07ae3e5f90c903?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"databricks","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"databricks","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/fa7aa720f2db4d1eba826814730482c8","url":"https://daily.dev/sources/databricks"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/bringing-real-time-fraud-prevention-to-government-benefits-twjm4vdeu","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"machine-learning,databricks,fraud-detection,real-time-analytics","timeRequired":"PT5M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"databricks","item":"https://daily.dev/sources/databricks"},{"@type":"ListItem","position":3,"name":"Bringing real-time fraud prevention to government benefits"}]} ```