January 9, 2013 -
NICE Systems has announced the launch of its Contact Center Fraud Prevention solution, which tracks fraud patterns and screens all phone interactions for fraud against a watch list of known fraudsters.
This new solution brings together NICE Actimize’s extensive expertise in fraud with NICE System’s years of experience in the contact center. The solution can be deployed as a standalone contact center solution or as part of the NICE Actimize enterprise fraud offering.
NICE Actimize is a subsidiary of NICE Systems and is a provider of financial crime, risk and compliance solutions for regional and global financial institutions as well as government regulators.
NICE’s Contact Center Fraud Prevention solution enables businesses to pinpoint fraudulent callers according to their unique voice print, by using a biometric analysis system to automatically cross-reference each call with a suspicious watch list of known fraudsters. This solution also implements NICE Interaction Analytics to identity fraud patterns and social engineering attempts based on speech analysis, emotion detection, talk patterns and interactions.
NICE solutions are used by over 250,000 organizations in more than 150 countries around the world.
According to the company, the NICE solution guides agents in real-time to appropriately handle high-risk interactions and provides an end-to-end fraud management solution that prioritizes high-risk interactions for investigation before authorization.
“The contact center is a prime target for fraudsters and enterprises must be prepared to ensure that this area of their business is as well protected as online transactions. By leveraging our contact center best practices with our fraud prevention practice, we were able to create an end-to-end solution that offers proactive fraud detection, real-time guidance, and integrated fraud case management,” Yochai Rozenblat, president of the NICE Enterprise Group said. “We believe that our advanced fraud prevention technology will help businesses boost their reputations, protect their customer base, and significantly reduce fraud losses.”