Cheshire, CT, United States of America

Ashish Bhagare

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Capital One Services, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ashish Bhagare. Retrieved from https://idiyas.com/inventor/ashish-bhagare

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ashish Bhagare: Inventor in Security-Alert Analytics.

Introduction

Ashish Bhagare is an inventor based in Cheshire, Connecticut. His work includes a patented approach to identifying anomalies in streamed security-alert data by using information about data transformations obtained retroactively.

Latest Patents

Bhagare is associated with 1 patent, titled “Identifying Anomalies Within Streamed Security-Alert Data Based on Retroactively Obtained Data-Transformation Information.” The patent describes methods and systems that analyze security-event time series to detect anomalies. The system stores security-alert data according to a schema, uses that data to populate predefined prompt sections, and relies on a summary generated by an artificial intelligence model to identify a potential anomaly. It can then notify the user of the finding.

Career Highlights

Bhagare works at Capital One Services, LLC. His patent reflects an application of artificial intelligence and data lineage techniques to security monitoring, with the aim of helping users identify unusual patterns in streamed alerts.

Collaborations

Bhagare’s listed coworker is Timothy E. Emerson. The available information identifies their professional connection but does not specify a particular joint project or co-inventorship.

Conclusion

Ashish Bhagare’s patent focuses on using retroactively obtained data-transformation information and AI-generated summaries to detect anomalies in streamed security alerts.

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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