Invention Grant
- Patent Title: Machine learning algorithms for change management in information technology environment
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Application No.: US18506050Application Date: 2023-11-09
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Publication No.: US12177089B1Publication Date: 2024-12-24
- Inventor: Donald Nelson Berg , David Owens , James Austin Adams , Thomas Alexander Hoffman
- Applicant: United Services Automobile Association (USAA)
- Applicant Address: US TX San Antonio
- Assignee: United Services Automobile Association (USAA)
- Current Assignee: United Services Automobile Association (USAA)
- Current Assignee Address: US TX San Antonio
- Agency: Perkins Coie LLP
- Main IPC: H04L41/16
- IPC: H04L41/16 ; G06F8/71 ; G06F16/23 ; G06N20/00 ; H04L41/0803

Abstract:
An information technology (IT) network includes configuration items (CIs) that may constantly change, where the CIs describe hardware components or software components that are configured to operate on the IT network. Machine learning techniques can be employed determine whether a CI has been changed (e.g., added, updated, or removed) in the IT network. For example, a software code or a log message associated with a CI can be analyzed to determine whether the CI is a newly added or updated within the IT network.
Public/Granted literature
- US2674913A Bail for securing coupling pins Public/Granted day:1954-04-13
Information query