ALEXANDRIA, Va., March 3 -- United States Patent no. 12,568,104, issued on March 3, was assigned to Bank of America Corp. (Charlotte, N.C.).

"System and method for synthetic intrusion data generation and remediation via machine learning" was invented by James Siekman (Charlotte, N.C.), Angela Smith (Charlotte, N.C.) and Michael Young (Davidson, N.C.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems, computer program products, and methods are described herein for synthetic intrusion data generation and remediation via machine learning. The present disclosure includes training a first machine learning model using a plurality of malicious code segments from a code repository, generating, using the first ma...