---
title: "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
source_url: https://www.elastic.co/blog/how-state-and-local-agencies-get-ahead-of-fraud
type: article
source: "elastic"
published: 2026-08-19T19:49:17.730Z
updated: 2026-08-19T21:01:03.808Z
tags: ["machine-learning", "elk", "fraud-detection"]
reading_time: 10
upvotes: 0
comments: 0
language: 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: <https://www.elastic.co/blog/how-state-and-local-agencies-get-ahead-of-fraud>

## 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
- [Operationalizing AI for public sector fraud prevention](https://daily.dev/posts/operationalizing-ai-for-public-sector-fraud-prevention-kmxinuxu7) · databricks · 0 upvotes · 0 comments
- [Data ubiquity in financial services: From insight to action](https://daily.dev/posts/data-ubiquity-in-financial-services-from-insight-to-action-gqz3qgq3q) · elastic · 0 upvotes · 0 comments
- [Detecting the undetectable: Building a fraud detection framework with Elastic](https://daily.dev/posts/detecting-the-undetectable-building-a-fraud-detection-framework-with-elastic-hwden9ccj) · elastic · 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)