Anti-money laundering (AML) and graph analytics is a match made in heaven. A lot of anti-money laundering use cases require identifying suspicious connections whereas graph analytics is designed to analyze complex connections from big data at scale. In this article we will provide a series of examples where graph analytics can be used to fight back […]
Why should Anti-Money Laundering (AML) teams pay attention to graph analytics? In this article we will dive into the problems with today’s AML compliance technology, how it impacts anti-money laundering and how graph analytics can provide a path forward for a more effective detection and investigation of AML cases.
Discover our user stories and learn about the challenges they overcame with graph technology. In this post, our partners from tech4pets explain how their organization is helping animal welfare associations and authorities dismantle pet trafficking networks through the collection and analysis of online data.
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 […]
This post is a series of 3 articles about the GraphTech ecosystem, as of 2019. This article is the second part of the series and covers the graph analytics landscape. The first part is about graph databases, and the third part will list the existing graph visualization tools.
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 […]