We have explored in the past how businesses are targeted by fraud schemes. Countries too are victims of fraud. In Europe the Value Added Tax (VAT) is manipulated by criminals that can win hundreds of millions. Let’s see how these VAT fraud rings operate and how to use graph technologies to detect them. Getting rich […]
Have you ever had your credit card stolen? It is not an uncommon situation. If it happens to you and you’re lucky, your bank will end up paying for the operations made with the credit card. But what happens behind the scene? Do criminals get caught? In this post, we see how graph technology like […]
In the US alone, insurance fraud costs companies between 40 and 80 billion dollars each year. Being able to detect fraud schemes before fraudsters steal anything is critical for insurance companies. Yet, the detection and investigation processes remain difficult for these institutions. Most of them simply lack the appropriate tools to detect and investigate complex […]
Discover our user stories and learn about the challenges they overcame with Linkurious solutions. In this post read how BforBank’s risk and compliance unit is dismantling check fraud rings with a bank fraud solution relying on graph technology.
Linkurious now fully supports DataStax Enterprise Graph. We’re very excited to partner with DataStax to help their clients find value in their data and enable them to use it for fraud detection, cyber security and intelligence analysis. DataStax Enterprise is a graph database solution based on the open source Apache Cassandra architecture. Datastax provides support […]
Fraud detection is all about connecting the dots. We are going to see how to use graph analysis to identify stolen credit cards and fake identities. For the purpose of this article we have worked with Ralf Becher, irregular.bi. Ralf is Qlik Luminary and he provides solutions to integrate the Graph approach into Business Intelligence […]