The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jul. 28, 2026
Filed:
Oct. 29, 2024
Bank of America Corporation, Charlotte, NC (US);
Pratheesh Venkatraman, Concord, NC (US);
Dnyanesh Ballikar, St. Johns, FL (US);
Carlton Merritt, Huntersville, NC (US);
Pushkar Taneja, Hyderabad, IN;
Nikhil Ram, Huntersville, NC (US);
Yash Dashputra, Manikonda, IN;
Amar Deep Reddy, Hyderabad, IN;
Rahul Saluja, Hyderabad, IN;
Aniket Ashok Sawant, Thane, IN;
Lisa J. Brown, Charlotte, NC (US);
Bank of America Corporation, Charlotte, NC (US);
Abstract
Dynamic Digital Immune Systems/Processes (DDIS) improve data integrity and quality in Explainable AI (XAI) systems. Operating in real time, it monitors data from distributed sources during federated training, detecting and flagging corrupted, poisoned, or low-quality data with dynamic anomaly detection algorithms. The system includes automated data cleaning to remove redundant and irrelevant data, enhancing AI model performance. It features dynamic encryption that adapts to data sensitivity, ensuring robust security. Swarm intelligence-based task distribution allows decentralized auditing of data integrity, while a traceability matrix tracks data lineage for transparency. The DDIS also incorporates a self-healing mechanism that automatically corrects identified anomalies, ensuring continuous reliability of AI outputs. This comprehensive system protects against data corruption, enhances processing efficiency, and safeguards the accuracy and integrity of XAI systems in high-stakes environments.