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VAT fraud : the mysterious case of the missing trader

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 […]

3 types of fraud graph analytics can help defeat

Organizations across industries are adopting graph analytics to reinforce their anti-fraud programs. In this post, we examine three types of fraud graph analytics can help investigators combat: insurance fraud, credit card fraud, VAT fraud.

Graph-based intelligence analysis

For decades, the intelligence community has been collecting and analyzing information to produce timely and actionable insights for intelligence consumers. But as the amount of information collected increases, analysts are facing new challenges in terms of data processing and analysis. In this article, we explore the possibilities that graph technology is offering for intelligence analysis.

Stolen credit cards and fraud detection with Neo4j

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 […]

Insurance Fraud Investigation using Linkurious

  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 […]

E-commerce fraud detection with graph technology

E-commerce fraud is growing quickly, creating new challenges in terms of prevention and detection.  The key element in the fight against fraud is now to draw on the connections within the data collected about customers, transactions and behaviors, to uncover fraudulent behaviors. In this post, we tell you how to conduct e-commerce fraud detection faster […]