October 01, 2018
Danske Bank boosts fraud prevention with Featurespace ARIC™ Fraud Hub
Real-time, adaptive behavioural analytics primed to mitigate bank's card fraud exposure and safeguard online channels
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.
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.
“Mitigating fraud is incredibly challenging because the threat keeps evolving. A real-time adaptive system highlights new attacks at the time they occur, which protects the bank and its customers” said Martina King, CEO, Featurespace. “We are honoured to be selected by Danske Bank as its partner to combat card and digital fraud”
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.
For further information, please contact:
Chief Commercial Officer • Featurespace
+44 (0) 1223 345940
About Featurespace - www.featurespace.com
Headquartered in the U.K, with offices in Cambridge, London and Atlanta, Featurespace™ is the world-leader in fraud prevention, creator of the ARIC™ platform, a real-time AI machine learning software and Adaptive Behavioral Analytics.
The ARIC platform risk scores transactions and consumer behavior in more than 180 countries.
Understanding behavior combined with real-time anomaly detection protects our clients and their customers from all modern fraud attacks.