CA Technologies has launched CA Risk Analytics Network, a new cloud-based card-issuer network that aims to reduce online fraud losses by an average of 25%.
CA Risk Analytics Network uses real-time behaviour analytics, machine learning and global transaction to stop card-not-present fraud instantly for network members.
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The new offering also incorporates an advanced neural network model, which is supported by real-time machine learning, to protect 3D Secure card-not-present (CNP) transactions. It learns from, and adapts to, suspected fraudulent transactions in an average of five milliseconds, instantly closing the gap for potential fraud using the same card or device across all members of the network.
CA Technologies general manager for payment security solutions Terrence Clark said: “Detecting anomalies quickly and ensuring frictionless authentication are the first steps in preventing card-not-present fraud without impacting legitimate cardholder transactions.
“Our data scientists have applied advanced analytics and new, real-time, machine learning algorithms to the global pool of 3-D Secure, e-commerce transaction data and device insights maintained by the CA Payment Security Suite. This provides faster and more accurate online fraud detection and prevention, reducing fraud losses for network members while streamlining online shopping experiences for consumers.”
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