July 25, 2017

Featurespace listed as a Sample Vendor in Gartner’s Research on How to Begin Investing Now in Enhanced Machine-Learning Capabilities for Fraud Detection

Featurespace, a global leader in machine learning fraud prevention using Adaptive Behavioural Analytics, has been identified as a Sample Vendor in Gartner’s July 2017 report which explores how organisations can Begin Investing Now in Enhanced Machine-Learning Capabilities for Fraud Detection.  

A direct link to the research can be found here. Access to the report is subject to readers having a subscription to Gartner.com.

Gartner’s research on Enhanced Machine-Learning Capabilities for Fraud Detection explores how “security and risk management leaders must cut through the hype about machine learning and AI to understand the emerging types of machine learning available and the use cases appropriate for each method”.

Featurespace is a world leader in adaptive behavioural analytics, delivered via the machine learning ARIC platform. ARIC uses anomaly detection to analyse complex data streams in real time, building individual behavioural profiles for each customer.

ARIC identifies a pattern of normal or ‘good’ behaviour and detects fraud attacks as they happen, reducing the costs associated with managing fraud. Simultaneously, ARIC reduces the number of genuine transactions incorrectly declined, enabling businesses to accept more revenue.

Featurespace’s ARIC platform is deployed live for organisations which have services and products in over 180 countries, including TSYS (the leading US payments processor), Vocalink Zapp, William Hill and Betfair.


For further enquiries, please contact us or request a demo of the ARIC platform. 

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