--- title: How state and local agencies can get ahead of fraud... description: Fraud in US state and local government programs (unemployment insurance, Medicaid, SNAP, tax refunds, loans, grants, and identity theft) persists largely... canonical: https://daily.dev/posts/how-state-and-local-agencies-can-get-ahead-of-fraud-starting-with-the-data-they-already-have-nawfwspew twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: How state and local agencies can get ahead of fraud starting with the data they already have | daily.dev og:description: Fraud in US state and local government programs (unemployment insurance, Medicaid, SNAP, tax refunds, loans, grants, and identity theft) persists largely... og:url: https://daily.dev/posts/how-state-and-local-agencies-can-get-ahead-of-fraud-starting-with-the-data-they-already-have-nawfwspew og:image: https://api.daily.dev/og/posts/NAWFwSpew.png og:image:alt: How state and local agencies can get ahead of fraud starting with the data they already have 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. # How state and local agencies can get ahead of fraud starting with the data they already have **[elastic](https://daily.dev/sources/elastic)** · 10 min read · 0 upvotes · 0 comments ## Summary Fraud in US state and local government programs (unemployment insurance, Medicaid, SNAP, tax refunds, loans, grants, and identity theft) persists largely because relevant data is fragmented across siloed departmental systems that weren't designed to share information. Consolidating and normalizing existing data, rather than replacing systems, allows investigators to spot cross-program patterns like shared bank accounts or mismatched addresses that would otherwise go undetected. California's EDD is cited as an example, having used Elastic to unify data across 3,000+ servers, achieving a 99% reduction in mean time to response and securing over 850 billion records. Practical starting points include data-sharing agreements, platform audits, and entity resolution capabilities, with incremental rollout recommended over large-scale overhauls. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Bringing real-time fraud prevention to government benefits](https://daily.dev/posts/bringing-real-time-fraud-prevention-to-government-benefits-twjm4vdeu) · databricks · 0 upvotes · 0 comments - [SNAP payment error detection: how Elastic helps US states beat the FY2028 penalty](https://daily.dev/posts/snap-payment-error-detection-how-elastic-helps-us-states-beat-the-fy2028-penalty-mxaj6lcyg) · elastic · 0 upvotes · 0 comments - [Why AI is failing in the security operations center](https://daily.dev/posts/why-ai-is-failing-in-the-security-operations-center-dogusx57g) · The New Stack · 0 upvotes · 0 comments - [Feds pitch anti-fraud AI trained on COVID loan data](https://daily.dev/posts/feds-pitch-anti-fraud-ai-trained-on-covid-loan-data-5gdhi4ntc) · The Register · 1 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#elk](https://daily.dev/tags/elk), [#fraud-detection](https://daily.dev/tags/fraud-detection) [View this post on daily.dev](https://daily.dev/posts/how-state-and-local-agencies-can-get-ahead-of-fraud-starting-with-the-data-they-already-have-nawfwspew) ```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":"How state and local agencies can get ahead of fraud starting with the data they already have","url":"https://daily.dev/posts/how-state-and-local-agencies-can-get-ahead-of-fraud-starting-with-the-data-they-already-have-nawfwspew","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/how-state-and-local-agencies-can-get-ahead-of-fraud-starting-with-the-data-they-already-have-nawfwspew"},"datePublished":"2026-08-19T19:49:17.730Z","dateModified":"2026-09-13T18:32:19.777Z","description":"Fraud in US state and local government programs (unemployment insurance, Medicaid, SNAP, tax refunds, loans, grants, and identity theft) persists largely...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/2984d990acf95933d612b5b6ef650102?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/2984d990acf95933d612b5b6ef650102?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"elastic","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":"elastic","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/b9f4b44c864c42f68aa7f164715da8b4","url":"https://daily.dev/sources/elastic"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/how-state-and-local-agencies-can-get-ahead-of-fraud-starting-with-the-data-they-already-have-nawfwspew","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"machine-learning,elk,fraud-detection","timeRequired":"PT10M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"elastic","item":"https://daily.dev/sources/elastic"},{"@type":"ListItem","position":3,"name":"How state and local agencies can get ahead of fraud starting with the data they already have"}]} ```