Los Gatos, CA, United States of America

William Wright


 

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovations of William Wright

Introduction

William Wright is an accomplished inventor based in Los Gatos, California. He holds a patent that focuses on the statistical analysis of network behavior, specifically using event vectors to identify behavioral anomalies. His work has significant implications for network security and data analysis.

Latest Patents

Wright's patent, titled "Statistical analysis of network behavior using event vectors to identify behavioral anomalies using a composite score," describes systems and methods for identifying anomalous network behavior. The patent outlines how network events can be observed through network sensors. Characteristics extracted from these events are used to construct an evidence vector. This vector is then compared to a mapping of previously identified events and event characteristics. The mapping is represented as clusters of expected and anomalous behaviors, modeled using analytic models for direction and magnitude detection. Centroids for each cluster are identified, and a 'best fit' is determined and scored for each analytic model. The scores are fused into a single binocular score to assess whether the evidence vector likely represents an anomaly.

Career Highlights

Throughout his career, William Wright has worked with notable companies such as OpenText Corporation and Webroot Inc. His experience in these organizations has contributed to his expertise in network analysis and security.

Collaborations

Wright has collaborated with various professionals in his field, including his coworker George D. Kellerman. Their joint efforts have further advanced the understanding of network behavior and anomaly detection.

Conclusion

William Wright's contributions to the field of network analysis through his innovative patent demonstrate his commitment to enhancing security measures in technology. His work continues to influence the way network behaviors are understood and managed.

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