“It will flag individuals displaying this suspicious behavior for further review, and add their voice biometrics to a watch list that can block them in future call attempts.”
Call center security specialist NICE has announced a new AI system designed to automatically identify and flag fraudsters.
Called “Proactive Fraudster Exposure”, it’s a new component of the NICE Real-Time Authentication (RTA) platform. The system, which is driven by machine learning technology, is designed to scan through existing call center recordings, and to identify abnormal behavior associated with fraud. It will flag individuals displaying this suspicious behavior for further review, and add their voice biometrics to a watch list that can block them in future call attempts.
The system clearly builds on NICE’s pre-existing voice biometrics technology, which has seen multiple call center deployments for customer authentication. And it reflects the rising profile of AI-driven security systems, especially in the enterprise.
In a statement announcing the new solution, NICE Enterprise Product Group President Miki Migdal emphasized its technological innovation, asserting that it’s “at the cutting edge”. “This capability, like many other unique features in our RTA offering, demonstrates NICE’s domain expertise in delivering voice biometrics applications that innovatively meet the specific needs of contact centers,” Migdal added.
August 29, 2018 – by Alex Perala