NICE Actimize Adds HooYu to the X-Sight Marketplace

Biometrics News - NICE Actimize Adds HooYu to the X-Sight Marketplace

The identity verification company HooYu is the latest addition to NICE Actimize’s X-Sight Marketplace. The X-Sight Marketplace offers a collection of solutions for financial institutions looking to reduce the threat of financial crime.

To that end, HooYu Identify uses facial recognition tech to match a live face against the picture on an official identity document. The platform also analyzes a person’s digital footprint to verify their real world identity and calculate their level of exposure. The latter feature allows companies to identify potential PEPs (Politically Exposed Persons) before those people are entrusted with sensitive corporate information.   

“HooYu welcomes this partnership as we bring business value to financial organizations looking for more modern customer identification and screening processes,” said HooYu Marketing Director David Pope.

HooYu previously partnered with the digital banking app Countingup to provide secure customer onboarding through HooYu Identify. Its platform will help X-Sight customers comply with Know-Your-Customer standards and guard against ID and account takeover fraud.

NICE Actimize, meanwhile, has been steadily expanding the X-Sight Marketplace since the virtual storefront was first announced in July. The company has since listed solutions from a number of different partners, including SecuredTouch, BehavioSec, and Jumio.

September 9, 2019 – by Eric Weiss

Like all biometrics solutions, face recognition technology measures and matches the unique characteristics for the purposes of identification or authentication. Often leveraging a digital or connected camera, facial recognition software can detect faces in images, quantify their features, and then match them against stored templates in a database.

Face scanning biometric tech is incredibly versatile and this is reflected in its wide range of potential applications. Learn more on FindBiometrics’ Facial Recognition page.