Gudlaugur Finnbogason

Title: Gudlaugur Finnbogason and Machine-Learning-Based Vulnerability Scoring.

Introduction

Gudlaugur Finnbogason is an inventor associated with Belfast, GB, and Rapid7, Inc. His patent work concerns applying machine learning to cybersecurity vulnerability assessment.

Latest Patents

The supplied information lists one patent for Finnbogason: Machine learning techniques for generating common vulnerability scoring system vectors. The invention describes obtaining a textual vulnerability description, using it to generate inputs for multiple machine-learning models, and processing their outputs to determine values for Common Vulnerability Scoring System (CVSS) risk metrics. Those values are then stored in a vector that can support vulnerability scanning in a computing environment. Finnbogason is credited with 1 patent in the information provided.

Career Highlights

Finnbogason is associated with Rapid7, Inc., a company focused on cybersecurity. His listed invention addresses the use of machine-learning models to derive structured risk metrics from vulnerability descriptions.

Collaborations

Stuart Millar is identified as Finnbogason’s coworker. The supplied information does not specify their roles or describe a particular joint project.

Conclusion

Gudlaugur Finnbogason’s listed patent applies machine learning to generating CVSS vectors, connecting his inventor profile with automated vulnerability assessment and cybersecurity.