Ann Arbor, MI, United States of America

Kyle Greeley

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kyle Greeley. Retrieved from https://idiyas.com/inventor/kyle-greeley

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Kyle Greeley: Inventor in Threat Management

Introduction

Kyle Greeley is an inventor associated with Ann Arbor, Michigan, and International Business Machines Corporation. Her work includes a patented approach to identifying and managing threats through machine-learning-based clustering.

Latest Patents

Greeley is associated with 1 patent: “Intrusion Management with Threat Type Clustering.” The invention describes a computer-implemented method, system, and program product for threat management. When an access attempt is detected, the system collects features for a machine-learning model to determine its threat type. The model uses clustering to assign the attempt to a cluster corresponding to that threat type, then performs actions based on the classification.

Career Highlights

Greeley’s listed patent reflects work in applying machine learning to access-attempt analysis and threat response. Her association with International Business Machines Corporation connects this invention to the company’s technology development.

Collaborations

Oner Sufri and William Wesley Beaver are identified as Greeley’s coworkers.

Conclusion

Kyle Greeley’s patent presents a machine-learning approach to classifying access attempts and guiding threat-management actions.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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