NICE Launches Proactive Fraudster Exposure



NICE today unveiled Proactive Fraudster Exposure as part of its NICE Real-Time Authentication (RTA) solution that empowers contact centers to expand and augment their defenses against fraud.

Based on machine learning technology, this capability allows contact centers to automatically prevent fraud before it happens by identifying previously unknown fraudsters and blocking them from committing fraud. The machine learning technology automatically scans hundreds of thousands of existing call recordings, identifying abnormal caller behavior associated with fraudsters. The identified suspected fraudsters are then sent for further investigation, added to a watch list of fraudster voiceprints, and blocked when calls are made in the future.

"This new capability demonstrates once again that our RTA offering remains at the cutting edge of innovative technology. It also reinforces our commitment to helping customers protect their consumers against identify theft together with the tools they need to provide excellent customer experiences," said Miki Migdal, president of the NICE Enterprise Product Group, in a statement. "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."

NICE Real-Time Authentication (RTA) uses voice biometrics combined with a range of additional authentication factors, to authenticate millions of customers and prevent fraud across multiple channels, including live agent calls, interactive voice response systems, and mobile app. It offers a single voiceprint across channels, historical enrollment, and multifactor authentication in one platform.