Featurespace win at the Barclays Supplier Awards 2019

Featurespace were delighted to accept an award for Controls Effectiveness Initiative of the Year at the Barclays Supplier 2019 awards.
 

We were honored to have been shortlisted for 1 of the 5 awards on offer this year. Only 15 suppliers were shortlisted out of a potential list of 6000.

Read more

Want to know how we're fighting fraud with Adaptive Behavioral Analytics?

[unex_ce_button id="content_3iwqxwl06,column_content_r9vrg2wpf" button_text_color="#222222" button_font="semibold" button_font_size="18px" button_width="auto" button_alignment="center" button_text_spacing="1px" button_bg_color="" button_padding="8px 25px 8px 25px" button_border_width="3px" button_border_color="#222222" button_border_radius="0px" button_text_hover_color="#ffffff" button_text_spacing_hover="2px" button_bg_hover_color="transparent" button_border_hover_color="#ffffff" button_link="https://www.featurespace.com/products/" button_link_type="url" button_link_target="_self" has_container="" in_column="1"]Learn more[/ce_button]

For further information, please contact: 

Rebecca Lewis
Head of Marketing • Featurespace  
rebecca.lewis@featurespace.com

About Featurespace - www.featurespace.com 

Headquartered in the U.K. and U.S. and with offices in Cambridge, London and Atlanta, Featurespace™ is the world-leader in fraud prevention and creator of the ARIC™ platform, a real-time AI machine learning software that risk scores transactions and other events in more than 180 countries. 

Featurespace was created out of Cambridge University’s Engineering Department, co-founded by world-renowned experts in applied statistics, the late Professor Bill Fitzgerald and Dave Excell, Featurespace CTO.

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 detection and operational efficiencies, while also reducing the number of genuine transactions that would be incorrectly declined due to traditional rules by as much as 70 percent.