BioCatch turns behavioural biometrics on bank fraud
06 March 2015 11:53 GMT

The tool maps inconsistent behavior patterns in the application flow.

Israeli firm BioCatch has launched a new tool that uses behavioural biometrics to detect fraud in new user accounts in the retail banking, eCommerce and payments industries.

BioCatch says that its New Account Fraud Detection solution detects in real-time when fraudsters use stolen or synthetic personal information to create a new account.

The tool maps inconsistent behavior patterns in the application flow, so it can distinguish between human and non-human activities and send an immediate alert when Bot activity is detected.

It can also differentiate between normal and anomalous behaviours by analysing input familiarity, application fluency, user expertise and robotic-behaviour detection.

“In today’s cybersecurity environment, it’s crucial that financial services institutions have the most advanced protection allowing them to combat the increasingly sophisticated attacks we are seeing,” said Oren Kedem, VP Products at BioCatch.

“This is exactly the reason we have zeroed in on using behavioural biometric authentication to identify threats such as malware and new account fraud.”

An article written by the company in February outlined a system of behavioural analysis which is claimed to accurately individuate the minor deviations from normal keyboard-and-mouse user behaviour that characterise a Remote Access Trojans actor.

“By using biometric analysis tools, we are able to analyze cognitive traits such as hand-eye coordination, usage preferences, as well as device interaction patterns to identify a delay or latency often associated with remote access attacks.”

“Simply put,” says Dr. Novick, “a RAT’s keyboard typing or cursor movement will often cause delayed visual feedback which in turn results in delayed response time; the data is simply not as fluent as would be expected from standard human behavior data.”