Schwegman has recommended that some of our inventions are so novel, that Trade Secret protection is the best route. This is the same approach that Coca-Cola uses to protect the "secret formula". Since a patent application must, by definition, include enough detail that a technical expert can reproduce the result, the publication of the patent can also spawn similar approaches that are just different enough to avoid a claim. In other words, by explaining how you have done it in such detail, you can inspire others by explaining some of the key challenges. For these reasons, we have kept certain inventions in the vault.
We filed for additional patents, incorporating hundreds of claims, and will have more to file in the future. In many patent applications, we have combined claims to reduce paperwork and cost. These have been filed with a Non-Publication request, meaning that the detail will not be published until the patent is issued. All have been assigned to Intensity Analytics Corporation.
9,430,626 User Authentication Via Known Text Input Cadence
The first patent (US Patent 9,430,626, issued on August 30, 2016) is titled “User Authentication Via Known Text Input Cadence”. While it relates to our TickStream.KeyID® product, and describes a portion of the statistical engines we invented to compare passwords, it is also a broad, foundational patent with claims that cover the measurements and mathematics required to compare effort.
On the advice of counsel, we took the long route to obtain this first patent (the application was filed in 2012) because we wanted it to be sufficiently strong and broad that it would be a significant factor for others to consider as they contemplate creating their own similar technology. During this time, we successfully defended a challenge from the USPTO regarding the current “Alice Decision” (Alice Corp. v. CLS Bank International), as well as met the provisions of the Leahy-Smith America Invents Act.
10,229,255 User Authentication
The second patent (US Patent 10,229,255, issued on March 12, 2019) is titled “User Authentication”. This patent was issued based on a Continuation filing on the first patent, and add claims that extend the techniques to include any data gathered from touchscreens and other sensors, including three-dimensional sensors that are part of a wearable device.
The ability to apply our technology in mobile devices and wearables to solve digital identity challenges provides a rapidly expanding market opportunity. According to Gartner, Inc., 225 million wearable devices will be purchased in 2019, an increase of 25.8% from the prior year, representing a total spend of $42 billion. Over 38% of this will be associated with smartwatches. Statistica forecasts the number of mobile phone users in the world is expected to pass the five billion mark in 2019. Smartphones, smartwatches and other IoT wearable devices commonly have the ability to capture highly precise movement and performance data. The nearly ubiquitous nature of these sensors opens new avenues for the application of Intensity Analytics’ TickStream® AI and machine learning engines to extend their application across a broader spectrum of the market.
10,235,507 Authentication Via Typing Cadence, Gestures, and QR Codes
The third patent (US Patent 10,235,507, issued on March 19, 2019) is titled “Authentication Via Typing Cadence, Gestures, and QR Codes”. This covers the algorithms and techniques supporting both existing products, such as TickStream.CV® and to-be-released products, such as TickStream.Gestures®. The claims in this patent application are around our mathematical solutions to interpreting, encoding, and comparing the information to produce the results, and among other things, cover our continuous validation engine, the process to construct dynamic passwords, compare touchscreen or three-dimensional gestures, and store effort data in QR codes.
One of the products we can deliver based on this patent will eliminate traditional passwords by producing a dynamic, one-time password, created specifically for you, and authenticated on how you uniquely type it. Using machine learning and artificial intelligence, TickStream is able to identify unique hallmarks of your effort performance and produce a passphrase from which you can be identified based on your effort performance alone.