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Digital Insight adding Touch ID biometric authentication to mobile banking apps

 

Online financial management solutions firm Digital Insight announced it is adding Touch ID fingerprint authentication functionality to mobile banking applications for its financial institution customers.

Along with Apple’s built-in fingerprint-sensor technology, Digital Insight is offering a handful of new solutions to its financial institution customers, including smartwatch and biometric access to finances.

“Touch ID frees consumers from having to enter their username and password in order to access their finances,” said Dan Weis, senior product manager at Digital Insight. “The speed and ease-of-use of Touch ID will provide financial institutions another innovation to offer their customers and members and further help them differentiate in the marketplace.”

Consumers can now use the Touch ID fingerprint authentication method to log into their mobile banking instead of entering in a valid username and password.

The user’s fingerprints remain stored on their device and are encrypted with a key that is only accessible to the device, providing a secure means to access private financial information.

Digital Insight said it is continuing to develop advanced solutions for its bank and credit union customers in an effort to help them engage more meaningfully and profitably.

Several of the company’s customers participated in the pilot program for Touch ID, including Beneficial Bank, Busey Bank, EECU, First Internet Bank, Harborstone Credit Union, OceanFirst Bank and Service Credit Union.

Digital Insight will offer Touch ID capabilities later this year to financial institution customers with end users using iPhone 5s running iOS 8 or higher, iPhone 6 and iPhone 6 Plus.

The company will also extend these capabilities to end users of iPad Air 2 and iPad Mini 3 beginning in the fall.

Digital Insight recently partnered with EyeVerify Inc. to provide its customers with EyePrint ID, technology that uses the camera in mobile devices to image and then pattern match the blood vessels in the whites of users’ eyes for highly accurate, fast and convenient mobile identity protection.

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