Security News > 2021 > March > Featurespace Automated Deep Behavioral Networks protects from card and payments fraud

Featurespace introduces 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, which cost an estimated $42 billion in 2020.

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.

Deep learning technology has various applications, such as in natural language processing for the prediction of the next word in a sentence, however its use in preventing fraud in card and payments fraud detection has not been optimized to protect companies and consumers from card and payments fraud.

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.

Detecting fraud before the victim's money leaves the account is the best line of defense against scams, account takeover, card and payment fraud attacks.

Providing performance uplift for all payment types, including card and ACH/BACS, wire, P2P and faster payments.

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