Immediate detection of fraud rings

Fraud detection is a typical usecase that requires graphs. It’s all about relationships between identifiers, and about quickly detecting that they are being shared. Shapes and sizes of fraud rings can vary considerably. Neo4j’s Cypher language facilitates the creation of pattern recognition capabilities to help detect fraud rings as they emerge, and when combined with our InterActor, provide a vizualisation of the fraud ring itself. At the same time suspected fraudulent identities and victims are spotted.

For this demo, 400 valid identities are created, each identity has a name, an address, a social security number (ssn) and a phonenumber. In addition, 64 fake identities are created based on the cartesian product of a set of 4 randomly chosen addresses,ssn and phone numbers from the valid identities. So, in total we have 464 identities.

As long as these identities don’t have opened accounts in their names, it’s not possible to see which identities are fraudulent and which are not. Even when there is just a single fraudulent identity that opens an account, it’s difficult. But when we detect that account-holders start to share addresses, ssn and phone, the pattern emerges rapidly. In this demo, we create individual random accounts, and once we suspect fraud, the InterActor application identifies identities that may be fraudulent, as well as identities that may be victims. The latter are those that share only one of their valid identifiers  (ssn, address or phone) with other account-holders. Note in the video that an identity that is initially identified as a victim, later on appears to be member of the fraud ring.

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Graphileon 3.0 has been released!

Graphileon 3.0, packed with new stuff! Today, after many months of hard work, we are proud to release Graphileon 3.0, offering more functionality and with many improvements under the hood. We also made Graphileon available on AWS, with a new licensing model that is based on functionality. Among the new functionality, we are especially pleased … Continued

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Monitoring progress by adding a single node

Keep users informed Some operations in applications, like loading data from an external source or running an algorithm on a large graph, take time. In these situations, you want to keep your users informed by providing them with visual and meaningful feedback. The same is true when you iterate through a list : users want … Continued

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Graphileon 2.7.0 has arrived!

Today we proudly release a new version, 2.7 packed with a lot of new features, and with support for a wider range of graph stores. We’ve created a video that takes you through the new and updated features of this version. If you want to try it or use it for your personal projects, please use … Continued

Get started with the Personal Edition

The easiest way to get to know Graphileon is by using the Personal Edition. Build graphy applications and browse your graph stores in a way you never did before.