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Tag Publications: fraud detection

InsurDay 2021: reinforcing your arsenal to combat organized insurance fraud

Fraud is ranked as one the top 5 most urgent issues for insurers today. Organized insurance fraud in particular poses major challenges for analysts trying to detect and investigate fraudulent activity. In a context where organized fraud is constantly evolving, what solutions are there?  Linkurious co-founder Jean Villedieu participated in a roundtable at InsurDay 2021 […]

Fraud use cases for graph analytics

Researchers found that losses due to fraud cost organizations worldwide more than 80% of the UK’s entire GDP(1) (up to USD 5.127 trillion!). In times of the COVID pandemic, 93% of anti-fraud professionals anticipated an increase in fraud over the next year, and 51% predicted the increase will be significant(2).  Fraudsters continue to exploit new technology […]

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 […]

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 […]