Baldwin, MD, United States of America

Greg Croxford

This inventor holds 1 USPTO granted patent. Top assignee: Morgan Stanley Services Group Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Greg Croxford. Retrieved from https://idiyas.com/inventor/greg-croxford

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Greg Croxford and Automated Sigma Rule Filtering.

Introduction

Greg Croxford is an inventor based in Baldwin, Maryland. His patent work addresses automated filter selection for Sigma rules, which are used in systems that detect malicious content.

Latest Patents

Croxford is associated with 1 patent, titled “Systems and Methods for Automated Filter Recommendation for Sigma Rules.” The invention describes a system and method for automatically determining filters for Sigma rules used in malicious content detection. It can train a machine-learning algorithm using candidate sets derived from multiple Sigma rules, then apply the algorithm to candidate sets associated with those rules to help detect malicious content.

Career Highlights

Croxford is associated with Morgan Stanley Services Group Inc. His patent reflects work at the intersection of machine learning, cybersecurity, and automated rule-based detection.

Collaborations

Croxford’s listed coworkers include Swapna Sourav Rout and Aman Gupta. Their shared professional context connects their work with the development of technologies for detecting malicious content.

Conclusion

Greg Croxford’s patent focuses on using machine learning to automate filter determination for Sigma rules, contributing to the development of malicious-content detection systems.

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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