UnifyID is working on a new way to protect yourself from hackers. At TechCrunch Disrupt SF Battlefield competition, the company demonstrated a unique way that people can protect themselves in the future.
Co-Founder Kurt Somerville stated that modern approaches use a system of secrets and once those are revealed users can get into the service. This standard may not be perfectly secure and thus they have created a better way through implicit authentication.
UnifyID uses machine learning to understand individual users using multiple devices and tracking where you go, how you walk, how you type, and more using sensors that interact with users throughout the day. Once a profile has been built around users habits the software is able to compute a score based on the chances its you trying to login to a specific service or product.
They demonstrated this approach by showing a user grabbing another users phone, walking with it and then trying to logon to a service, however being unable to logon because of the difference in the way the two users walk.
The company has released the product in a private beta this week in the form of a chrome browser extension with an iOS mobile app, with the Android app coming in the future. Once the browser extension and the mobile app are installed it beings to learn about the user. Once it knows you, users can go to a service such as a website and no longer have to input a username and password, it logs the user in using the Unify ID. If it is not sure that the correct user is trying to log on it will send a challenge question to the correct users phone for authentication.
UnifyID gives users control over their data by encrypting most of it on the local device.
Other companies such as Google, Microsoft, and Apple are also working on new ways for users to authenticate themselves to access products and services. In the future users might not have to input usernames and passwords.