Mobile Commerce

iWallet Picks Biometrics Partner To Ditch Passwords

IWallet, the biometrics and “luxury techcessories” company, said Wednesday (Aug. 19) that it is partnering with NEXT Biometrics Group ASA to introduce a new identification solution.

The iWallet Password is a USB interface, based in part on NEXT’s NB-3010-U ergonomic USB desktop fingerprint reader. That device is targeted to replace the use of passwords when logging into mobile devices such as notebooks and tablets, the companies said in a release detailing the new technology.

In the statement, Jack Chadsey, chief executive officer of iWallet Corp., noted that “by reducing the cost of high-quality hardware, iWallet Password is opening the door for broader adoption of fingerprint biometric authentication and poised to be a true game-changer in password-free security.”

“Ongoing security challenge issues, such as identity theft and data breaches, continue to drive the adoption of biometrics as a security solution,” the executive continued. “Fingerprint authentication is at an inflection point. Apple’s successful integration of fingerprint technology in the iPhone and the integration of face and iris recognition into Windows 10 are just two examples of how major tech players are moving towards faster and more localized password-free authentication methods.”

The announcement follows an earlier partnership between the two companies, in which the NEXT NB-2020S fingerprint sensors are slated to be included into iWallet’s portfolio of biometric products. Those products include the BIO-BLU Biometric Bluetooth smart locking technology. The Bluetooth technology is designed to protect valuables such as credit cards, jewelry, prescription drugs and other items.

Separately, it was reported at the annual Black Hat conference in Las Vegas that biometrics may not be as secure a technology as had been previously thought. That proposition came from FireEye researcher Yulong Zhang, who said in a presentation that some mobile devices present security vulnerabilities that can be exploited for data that includes users’ fingerprints.

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