Anti-fraud

News and opinion from the team behind the KeyLines network visualization toolkit

Graph visualization use cases: Law and fraud

12th September, 2017
Estimated reading time 5–8 minutes

In the first of three blog posts, we explore the real world applications for graph visualization, starting with law enforcement…

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Enterprise Fraud Management: Investigation v Detection

21st June, 2017
Estimated reading time 5–8 minutes

We’ve written about fraud as a connected data problem before. We’ve shown how the key to fraud insight lies in…

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Enterprise fraud detection

15th November, 2016
Estimated reading time 6–9 minutes

Enterprise fraud detection has changed significantly in the last few years. Previously, single supplier solutions reigned supreme. Multi-million dollar contracts…

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Link Analysis for Fraud Detection

19th July, 2016
Estimated reading time 4–7 minutes

Insurance fraud detection is a matter of understanding connections. To uncover scams, investigators look for anomalous links between people, events, locations…

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Case Study: Insurance Fraud

5th May, 2015
Estimated reading time 4–6 minutes

KeyLines has been used to deploy sophisticated network visualization capability in many high profile and complex organizations. In 2013, we…

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Clamping down on review fraud

15th April, 2015
Estimated reading time 6–9 minutes

Last week, Amazon filed its first ever lawsuit over fake product reviews. It alleges that there is an entire ‘unhealthy ecosystem’…

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Visualizing Bitcoin activity

23rd March, 2015
Estimated reading time 4–6 minutes

Why visualize financial transactions? KeyLines is a toolkit for visualizing networks (or graphs) in data. Transactions fit the graph model…

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Detecting Healthcare Fraud with graph visualization

10th December, 2014
Estimated reading time 4–6 minutes

Could graphs help be part of the answer? Let’s take a look at how graph visualization could be a valuable tool for detecting healthcare fraud, focusing on the Medicare Program.

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Detecting loyalty fraud among frequent flyers

19th November, 2014
Estimated reading time 5–8 minutes

When fraud is mentioned, our minds usually jump to a few well-known categories: identity fraud, mail fraud, credit card fraud,…

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The Evolution of Fraud Detection: CaseLink 2.0

8th October, 2014
Estimated reading time 2–3 minutes

Cifas’ network visualization application, CaseLink 2.0 Cambridge Intelligence works with CIFAS – the UK’s Fraud Prevention Service, to release a…

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