Overcoming Cross-Channel Challenges with Next-Gen Fraud Prevention
Today’s credit union members enjoy the freedom of accessing their accounts through a wide variety of connected devices, including mobile phones, computers, tablets and smart watches. Yet, with all the conveniences they bring, these devices also provide many points of access to members’ financial data, putting them and their credit unions at risk of falling victim to cross-channel fraud. For a long time, fraud solutions have leveraged machine learning and pre-programmed rules to catch criminals in the act. However, today's interconnectivity has allowed fraudsters to innovate their tactics and static rules do not prevent against new attacks.
More than a decade ago, adaptive behavioral analytics was invented in the U.K., creating the next generation of fraud prevention. By understanding individual behaviors, these analytics learn what activities are genuine and what looks suspicious.
Featurespace named Best in Class in Aite Machine Learning Vendor Evaluation
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Headquartered in the U.S. and U.K. and with offices in Atlanta, Cambridge and London, Featurespace™ is the world-leader in fraud prevention and creator of the ARIC™ platform, a real-time AI machine learning software that risk scores events in more than 180 countries.
The ARIC platform combines adaptive behavioral analytics and anomaly detection to automatically identify risk and catch new attacks as they happen. The increased accuracy of understanding behavior strikes the balance between improving fraud and risk detection and operational efficiencies, while also reducing the number of genuine transactions that would be incorrectly declined by as much as 70 percent.
Featurespace Joins PWC Tech She Can Charter, Promoting Female Role Models in the Technology Sector
Women in Tech
Your fraud solution, your choice – more control and even better insights with ARIC™ 3.13
Featurespace Names Laura Gibson U.S. Director of Operations to Support Ongoing International Expansion
Featurespace launches international behavioral analytics fraud technology into Singapore
SKS365 Selects Featurespace’s Adaptive Behavioural Analytics To Predict And Identify Fraud
Justin Griggs at TSYS provides insights into success from their partnership with Featurespace
GDPR Becomes Reality, Consumer Data Becomes Global – Featurespace contributes to new PYMNTS eBook
Fraud prevention solution – should we build it in-house or should we buy it? Sean Neary speaks to The Paypers
Real-time machine learning solution recognised by UK’s most prestigious business awards: Queen’s Award for Enterprise- Innovation
Worldpay and Featurespace: Fighting Fraud By Finding Good Transactions Instead Of Bad Ones
Machine Learning Helps IoT Deliver a New Channel for a Better, More Secure Payments Experience
Tackling fraud trends in 2018: what to expect and what your business can do to prepare (via The Paypers)
Capital One UK’s use of TSYS Foresight Score℠ with Featurespace named ‘Best Security or Anti-Fraud Development’ at The Cards & Payments Awards 2018
Keeping fraud costs at bay: improving efficiency and saving costs with adaptive behavioural analytics
Featurespace a Sample Vendor in Gartner’s Research – “How to Begin Investing Now in Enhanced Machine-Learning Capabilities for Fraud Detection”
Don’t treat your customers like criminals: Understanding Behaviour with Machine Learning – Luke Reynolds for n>genuity
Icon Solutions partners with Featurespace to provide real-time fraud protection for instant payments
“How is machine learning helping to tackle online fraud?” – Payments & Cards Network’s e-magazine
OpenBet partners with Featurespace to improve player experience and understanding
©2016 Featurespace Limited. All rights reserved. Legal information
Trade Mark Notice: FEATURESPACE is a registered trade mark in the EU and UK and is pending in the US.
ARIC is a registered trade mark in the EU and US.
The OUTSMART RISK Logo is a registered trade mark in the EU and UK. The OUTSMART RISK word mark is pending in the US.