Cambridge, MA, United States of America

Vasudha Shivamoggi

This inventor holds 33 USPTO granted patents and 4 published patent applications, primarily in Machine Learning Security. Top assignees: Rapid7, Inc., Nike, Inc.. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vasudha Shivamoggi. Retrieved from https://idiyas.com/inventor/vasudha-shivamoggi

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

USPTO Granted Patents = 33 

% Patents Active = 97.0

Average Co-Inventor Count = 3.1

ph-index = 4

Forward Citations = 224(Granted Patents)


Location History:

  • Arlington, MA (US) (2023)
  • Cambridge, MA (US) (2020 - 2024)
  • Boston, MA (US) (2021 - 2024)

Company Filing History:


Years Active: 2020-2026

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Areas of Expertise:
Cyberattack Detection
Anomaly Detection
Event Prediction
Network Monitoring
Data Exfiltration
Homomorphic Encryption
Dimensionality Reduction
Malicious Activity Detection
Cluster Scheduling
Synthetic Data Generation
Feature Importance
Graph-Based Detection
33 patents (USPTO):Explore Patents

Title: Innovations Behind Vasudha Shivamoggi's Patents in Data Transfer Detection

Introduction

Vasudha Shivamoggi, a distinguished inventor based in Cambridge, MA, has made significant contributions to the field of data transfer detection through his extensive portfolio of 27 patents. His innovative approaches leverage advanced technologies to enhance network security and data integrity, addressing prevalent challenges in the digital landscape.

Latest Patents

Among his latest patents, one noteworthy invention is focused on **Anomalous Data Transfer Detection**. This system utilizes various methodologies to identify abnormal data transfer associated with organizational assets. By determining hotspots relating to high outbound data traffic, it categorizes periods into 'quiet' and 'active' days, as well as identifying 'quiet' hours during active days. This warmspot dataset plays a crucial role in detecting anomalous transfer activities and generates alerts regarding possible security breaches.

Another significant patent is titled **Identifying High-Influence Features for Model-Detected Anomalies**. This anomaly detection system employs machine learning models trained through unsupervised techniques to monitor processes and hosts within a network. By categorizing processes based on observed data, it calculates an outlier metric to flag potential anomalies for further investigation. The system's ability to retrain based on new data enhances its effectiveness in identifying threats without manual input.

Career Highlights

Vasudha Shivamoggi has garnered valuable experience working with esteemed companies such as Rapid7 and Nike. His roles in these organizations have enabled him to refine his expertise in cybersecurity and data analytics, positioning him at the forefront of innovation in anomaly detection systems.

Collaborations

Throughout his career, Vasudha has collaborated with notable coworkers including Roy Donald Hodgman and Wah-Kwan Lin. These partnerships have likely fostered a dynamic exchange of ideas and expertise, contributing to the advancement of their respective fields.

Conclusion

Vasudha Shivamoggi's pioneering work in the realm of data transfer detection represents a vital advancement in cybersecurity technology. With a robust portfolio and impactful collaborations, his innovations continue to shape the way organizations detect and respond to data anomalies, ensuring a more secure digital environment.

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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