Systems and Methods for Dynamically Anonymizing Geospatial Data for Secure Analytics

ChangeBridge: Patent Grants - Networking (H04L)

Published March 31st, 2026

Detected March 31st, 2026

Summary

USPTO granted Patent US12591709B2 to Anonos Innovations LLC on March 31, 2026. The patent covers systems and methods for dynamically anonymizing geospatial data, enabling data subjects to remain anonymous for desired periods and to desired degrees while facilitating privacy-preserving analytics, AI, and machine learning applications.

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What changed

The USPTO issued Patent US12591709B2 to Anonos Innovations LLC for technology enabling dynamic anonymization of geospatial information. The patent describes systems and computer-implemented methods that allow personal data sharing with third parties in a temporally-, geographically-, and purpose-limited manner. The invention facilitates functional separation of geospatial data while maintaining anonymity. The patent contains 24 claims and is classified under CPC H04L 63/068, H04L 63/0407, G06F 2221/2115, and G06F 21/6254.

This patent grant is an intellectual property milestone rather than a regulatory compliance requirement. Technology companies developing privacy-enhancing technologies, geospatial analytics platforms, or AI/ML systems involving location data should review the patent to assess potential licensing needs or to ensure their technologies do not infringe on the granted claims. The patent provides Anonos Innovations LLC with exclusive rights to these dynamic anonymization techniques for the duration of the patent term.

Source document (simplified)

← USPTO Patent Grants

Systems and methods for functionally separating geospatial information for lawful and trustworthy analytics, artificial intelligence and machine learning

Grant US12591709B2 Kind: B2 Mar 31, 2026

Assignee

Anonos Innovations LLC

Inventors

Malcolm Gary LaFever, Ted N. Myerson, Mark Little, Steven Mason, Samantha LaFever, Howard Kaushansky

Abstract

Various systems, computer-readable media, and computer-implemented methods of providing improved data privacy, anonymity and security by enabling subjects to which data pertains to remain “dynamically anonymous,” i.e., anonymous for as long as is desired—and to the extent that is desired—are disclosed herein. Embodiments include systems that create, access, use, store and/or erase data with increased privacy, anonymity, and security—thereby facilitating the availability of more qualified and accurate information. When personal data is authorized by data subjects to be shared with third parties, embodiments described herein may facilitate the sharing of information in a dynamically-controlled manner that also enables the delivery of temporally-, geographically-, and/or purpose-limited information to the receiving party. In one example, the disclosed techniques may be used to functionally separate geospatial information, such that it remains “dynamically anonymous,” i.e., anonymous for as long as is desired—and to the extent or degree that is desired.