Company: IsItMe LLC
Website: http://isitme.dev/
Patent Number: 12699755
Title: Methods and systems for facilitating authenticating of users

This patent introduces a dynamic authentication approach that transmits targeted prompts across user devices during an active session. Rather than relying on a static, single-point login, the system analyzes response data using machine learning models to assess user identity in real time. Standard authentication mechanisms remain highly susceptible to SIM swapping, deep fakes, device theft, and network jamming. By continuous evaluation and automated session termination, this technology creates an immutably auditable and resilient barrier against modern cyber threats.

Swanson Reed Patent of the Month Recognition

This invention was selected as the Wyoming Patent of the Month for September 2026 by Swanson Reed in recognition of its technological advancements in cybersecurity. Swanson Reed highlighted IsItMe LLC for addressing fundamental weaknesses in traditional multi-factor authentication through machine learning. The award recognizes the system’s potential to establish stronger identity verification standards across cloud platforms and enterprise applications.

R&D Tax Credit Eligibility in the USA

The engineering required to develop and validate this patented system presents strong opportunities for the U.S. Research and Development (R&D) Tax Credit under Section 41. Developing algorithms capable of executing real-time machine learning analysis across heterogeneous user devices involves significant technical uncertainty. The iterative design, testing of communication protocols, and continuous refinement to eliminate false positives while mitigating active network attacks constitute a formal process of experimentation. Because these development efforts rely on principles of computer science to yield a novel software platform, associated personnel and testing costs directly align with federal R&D tax credit criteria.