---
title: TigerGraph for Financial Services Solution Brief
description: In this solution brief we describe how deep-link analysis can uncover connections between people, devices, credit cards and bank accounts that indicate a high fraud risk, and can be used by merchants to block inappropriate payment transactions in real-time. 
image: https://info.tigergraph.com/hubfs/a5-bifold-brochure-mockup-with-a-customizable-background-1370-el%20(2).png
---

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# Powerful Fraud Detection Capabilities With TigerGraph

Learn How Graph Analytics Can Help Fight Financial Fraud

![a5-bifold-brochure-mockup-with-a-customizable-background-1370-el (2)-1](https://info.tigergraph.com/hs-fs/hubfs/a5-bifold-brochure-mockup-with-a-customizable-background-1370-el%20(2)-1.png?width=300&name=a5-bifold-brochure-mockup-with-a-customizable-background-1370-el%20(2)-1.png)According to Juniper Research, online payment fraud alone will cost merchants [over $130 billion between 2018 and 2023.](https://www.juniperresearch.com/researchstore/fintech-payments/online-payment-fraud) Fraud incidents across all financial services are increasing at an alarming rate - a recent [report from LexisNexis](https://risk.lexisnexis.com/insights-resources/research/2019-true-cost-of-fraud-study-e-commerce-retail-edition)indicates that fraud attempts have increased significantly among financial services firms during the past year, with more than twice the number of attempts and an 85% increase in fraud success rates. 

In this solution brief, we describe how deep-link analysis can uncover connections among people, devices, credit cards, and bank accounts that indicate a high fraud risk, and can be used by merchants to block fraudulent payment transactions in real-time. 

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