KUALA LUMPUR, Feb. 26 (Bernama) -- Featurespace has introduced Automated Deep Behavioral Networks for the card and payments industry, providing a deeper layer of defense to protect consumers from scams, account takeover, card and payments fraud.
“The significance of this development goes beyond the scope of addressing enterprise financial crime. It's truly the next generation of machine learning,” said Featurespace’s founder, Dave Excell.
A breakthrough in deep learning technology, this invention required an entirely new way to architect and engineer machine learning platforms.
According to a statement, Automated Deep Behavioral Networks is a new architecture based on Recurrent Neural Networks that is only available through the latest version of the ARIC™ Risk Hub.
Featurespace Research developed Automated Deep Behavioral Networks to automate feature discovery and introduce memory cells with native understanding of the significance of time in transaction flows, improving upon the market-leading performance of the company's Adaptive Behavioral Analytics.
Automatic Deep Behavioral Networks benefits include enabling genuine transactions with reduced verification, automatically discovering features in transaction events, leveraging the irregularity of human actions to identify anomalistic behaviour, and reducing step-up authentication.
More details at www.featurespace.com.
-- BERNAMA
No comments:
Post a Comment