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Featurespace is a pioneer in dynamically modelling human behaviour. The company’s unique technology provides a forensic analysis of behavioural data previously impossible in traditional rules based anti-fraud systems. This innovative and unique approach has a proven track record in successfully detecting fraud and identifying other problem behaviour, offering a significant increase over other traditional anti-fraud techniques.
Featurespace’s front line product, ‘FS Anti-Fraud’ is relied on by the world’s largest sporting exchange to monitor both transactional and ‘system use’ activities. System throughput runs to millions of transactions per day, which our system accommodates with ease. Featurespace was selected over many other significant players in the market such as Oracle and IBM, illustrating clearly the superiority of our approach. The goal of Featurespace products in this specific area is to detect, quantify and forensically analyse anomalous behaviour within stored and in-flight data before the effects of fraud impact either financially or reputationally on the company. Although the product utilises the ubiquitous rules, black & white lists and machine learning, FS Anti-Fraud also employs our own unique behavioural analysis algorithms, which take anti-fraud tools to the next level when compared to the ‘competition’. Featurespace is thus setting the new benchmark in anti-fraud technology that others will have to follow if they are to serve their clients as well as is possible. This is especially important when fraud is on the increase and cost savings are tantamount to company survival.
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