Business-Aware Intelligent Incident and Change Management
AssigneeJPMorgan Chase Bank, N.A.
InventorsMelvin LOPEZ, Jessie Rincon-Paz
Life of this patent
Estimating the term…
Abstract
Systems and methods for prioritizing and tracking incidents and changes that occur in an information technology infrastructure are provided. The systems and methods may automatically detect incidents and changes and determine associated risk and impact of the incident or change using machine learning to enhance the determination of severity of an incident or change based on a prior history of incidents and changes.
Claims20
A system for intelligent incident and change management, the system comprising:
- an active machine learning module configured to:
- receive application data;
- receive information asset data;
- monitor information assets to detect incidents, wherein when an incident is detected, the active machine learning module is further configured to determine and assign priority to the incident based on the application data and information asset data;
- and,
- generate an incident report based on the detected incident and the assigned priority.
A method for intelligent incident and change management, the method comprising:
- receiving application data;
- receiving information asset data;
- monitoring information assets to detect incidents;
- detecting and incident and determining and assigning a priority to the incident based at least on the application data and the information asset data;
- and
- generating an incident report based on the detected incident and assigned priority.
A system for intelligent incident management, the system comprising:
- an active machine learning module configured to:
- receive application data from an application metadata module;
- receive information asset data form an asset inventory module;
- receive legal and compliance data from a legal and compliance module;
- receive business and operations data from a business and operations module;
- monitor information assets to detect incidents, wherein when an incident is detected, the active machine learning module is further configured to determine and assign priority to the incident based on one of the application data, the information asset data, the legal and compliance data, or the business and operations data;
- and
- generate an incident report based on the detected incident and the assigned priority.
Dependencies are inferred from the claim text.