Mountain View, CA, United States of America

Magnus Almgren

This inventor holds 1 USPTO granted patent. Top assignee: Sri International. Active years: 2006.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Magnus Almgren. Retrieved from https://idiyas.com/inventor/magnus-almgren

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


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 34(Granted Patents)


Company Filing History:


Years Active: 2006

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1 patent (USPTO):Explore Patents

Title: Magnus Almgren: Innovator in Application-Layer Anomaly Detection

Introduction

Magnus Almgren is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of technology, particularly in the area of application-layer anomaly and misuse detection. His innovative approach has led to the development of a patented method that enhances data security and integrity.

Latest Patents

Almgren holds a patent for a method that includes passing a request for data received by a first server process executing in a first server to a detection process. This process involves packing a subset of the data into an analysis format and passing the subset to an analysis process. This patent is crucial for improving the detection of anomalies and misuse in data applications. He has 1 patent to his name.

Career Highlights

Magnus Almgren is currently employed at SRI International, a renowned research institute that focuses on innovative solutions across various fields. His work at SRI International has allowed him to collaborate with other talented professionals and contribute to groundbreaking research and development.

Collaborations

Some of his notable coworkers include Phillip Andrew Porras and Ulf E Lindqvist. Their combined expertise fosters a collaborative environment that drives innovation and enhances the quality of their projects.

Conclusion

Magnus Almgren's contributions to application-layer anomaly detection exemplify the impact of innovative thinking in technology. His work not only advances the field but also sets a standard for future developments in data security.

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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