---
title: "Real-Time Graph Analytics: Transforming Fraud Detection in Banking"
description: Discover how banks use real-time graph analytics to cut fraud losses, boost detection by 3x, reduce false positives, and save $100M+ annually.
image: https://info.tigergraph.com/hubfs/Real-Time%20Graph%20Analytics_Transforming%20Fraud%20Detection%20in%20Banking.png
---

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# Real-Time Graph Analytics: Transforming Fraud Detection in Banking

![Real-Time Graph Analytics- Transforming Fraud Detection in Banking](https://info.tigergraph.com/hs-fs/hubfs/Real-Time%20Graph%20Analytics-%20Transforming%20Fraud%20Detection%20in%20Banking.jpg?width=2000&height=1130&name=Real-Time%20Graph%20Analytics-%20Transforming%20Fraud%20Detection%20in%20Banking.jpg "Real-Time Graph Analytics- Transforming Fraud Detection in Banking")

Learn how leading banks cut false positives by 50%, improve fraud model accuracy by 3x, and save $100M+ annually with TigerGraph.

**Inside you will discover:**

- The rising cost of fraud and why speed + context matter
- How graph analytics exposes hidden fraud networks
- Real-world results from global banks like JP Morgan and Nubank
- How to build a scalable, future-ready fraud strategy

**Key Stats:**

- $400B+ projected fraud losses this decade
- 1B+ transactions/day analyzed in under 80ms
- Recall lifted from 28% → 90% at Nubank
- $50M+ saved annually at JP Morgan Chase 

**About TigerGraph**

Trusted by top global banks, TigerGraph delivers real-time fraud detection at massive scale using advanced graph analytics.

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