AI Case Study
Danske Bank prevents card fraud with the use of machine learning
Danske Bank has leveraged machine learning technology to fight fraud across all its payment channels. Featurespace's ARIC Fraud Hub prevents fraud by detecting anomalies in a user's behavioural profile, in real time. The bank is mitigating the risk while also eliminating false positives to offer greater customer experience.
Industry
Financial Services
Banking
Project Overview
"Following an extensive research process and comprehensive evaluation of multiple vendors, Featurespace’s ARIC™ Fraud Hub was chosen as the best solution to mitigate card fraud at the customer level in real time and across all channels, while also giving customers the best experience by reducing the number of false positives."
Reported Results
Results undisclosed
Technology
"The ARIC Fraud Hub – which is deployed in some of the world’s largest banks, payment processors and merchant acquirers – uses machine learning to build and monitor individual behavioural profiles in real time to detect anomalies and prevent fraud across all payment methods and channels, as it occurs."
Function
Risk
Security
Background
"Danske Bank, the largest bank in Denmark and leader in the northern European financial markets, has selected Featurespace, the leading machine learning Adaptive Behavioural Analytics fraud prevention company, as its strategic provider to bolster its fraud mitigation capabilities."
Benefits
Data
Historical data on user behaviour