Bypassing the Password

In an increasingly mobile friendly environment, Google is enhancing its password-replacement technology to surpass its current face and voice recognition software.

Dan Kaufman, director of Google’s Advanced Technology and Projects division unveiled the new software, named “Trust API,” at the annual Google I/O conference. In his presentation, Kaufman highlighted the technology’s ability to remedy “the awkwardness of second-factor authentication.”

Trust API utilizes various sensors and monitors, installed in an Android mobile device, in order to learn the characteristics, movements, and trends of the user. The mobile device uses this information to authenticate the user. In other words, Google will track the way you walk, the time you travel, and even the way you speak to ultimately identify who you are. Kaufman claims that this technology will eliminate the need for passwords entirely, as it provides several forms of authentication to block unwanted intruders.

Kaufman noted that Google was working with “several large financial institutions” to incorporate Trust API into a mobile banking platform. Many major banks and credit card companies use some type of biometric detection in lieu of a traditional password in their mobile banking applications. Some use fingerprint scanners while others, like MasterCard, have adopted more trendy forms of authentication, like taking a selfie. Financial institutions, primarily concerned with the privacy of millions of retail banking accounts, also use biometric keys because they are more secure than written passwords. However, Google’s Trust API technology eliminates the practice of passwords, as the Android OS automatically and continuously authenticates the user.

Trust API has the potential to streamline the way Android users conduct daily activities and improve the artificial intelligence that drives these activities. Further application of Google’s API software is yet to be seen, but the technology provides an enhancement to the growing trend of machine learning and the “Internet of Things.”

Read more at CNNTech.

Image Credit: Google

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