Charlotte, NC, United States of America

Lisa J Brown

This inventor holds 1 USPTO granted patent. Top assignee: Bank of America Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lisa J Brown. Retrieved from https://idiyas.com/inventor/lisa-j-brown-5yq7plhc

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

Calculating rank

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Lisa J. Brown and the Dynamic Digital Immune System

Introduction

Lisa J. Brown is an inventor associated with Charlotte, North Carolina. Her patent, “Dynamic Digital Immune System (DDIS) for Explainable AI Integrity,” describes an approach to improving data integrity and quality in explainable artificial intelligence systems.

Latest Patents

Brown’s listed patent presents a real-time system for monitoring data from distributed sources during federated AI training. It uses dynamic anomaly detection to identify and flag corrupted, poisoned, or low-quality data, and automated cleaning to remove redundant or irrelevant information. The system also describes adaptive encryption based on data sensitivity, decentralized auditing through swarm-intelligence-based task distribution, and a traceability matrix for tracking data lineage. A self-healing mechanism is designed to correct identified anomalies and support reliable AI outputs. Brown has 1 patent listed in the provided information.

Career Highlights

Brown is associated with Bank of America Corporation. Her patent focuses on protecting data quality, security, and transparency in AI systems, particularly in high-stakes settings where dependable outputs are important.

Collaborations

The provided information names Pratheesh Venkatraman and Dnyanesh Ballikar as Brown’s coworkers. It does not specify their roles in the patent or describe any direct collaboration.

Conclusion

Lisa J. Brown’s listed invention outlines a comprehensive framework for detecting and addressing data integrity issues in explainable AI, combining monitoring, security, traceability, and automated recovery.

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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