US 2021/0201270 A1 · MACHINE LEARNING-BASED CHANGE CONTROL SYSTEMS

Abstract

Various embodiments of the present technology generally relate to systems, tools, and processes for change control systems. More specifically, some embodiments relate to machine learning-based systems, methods, and computer-readable storage media for job approvals, logging, and validation of critical functions and tasks based on compliance requirements, threat models, intended outcomes, rules, regulations, and similar restrictions or combinations thereof. Job approvals, rejections, and deferrals may be combined with machine learning techniques to conduct behavioral analysis in some implementations. The system disclosed herein provides for an improvement over existing change control methods requiring manual and time-consuming analysis. The system utilizes a combination of security, compliance, and auditing requirements along with machine-learning based behavior analysis of development, security, and operations functions and actions to determine risk, rejection, approval, or deferral of submissions in an automated manner.

Claims20

Dependent claims

A change control system comprising:

one or more computer-readable storage media;
a processing system operatively coupled with the one or more computer-readable storage media;
and
program instructions stored on the one or more computer-readable storage media that, when read and executed by the processing system, direct the processing system to at least:
receive a job submission, wherein the job submission comprises a job including at least one change to a component within a system associated with the change control system;
generate a graph based on the job;
extract information from the graph for submission to a machine learning model;
and
submit the information from the graph to an input layer of the machine learning model, wherein the machine learning model evaluates the information from the graph to predict if the submission should be rejected.

6 more elements

Dependencies are inferred from the claim text.

Machine learning-based change control systems

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Machine learning-based change control systems

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Abstract

Claims20