System for technology anomaly detection, triage and response using solution data modeling

• US 10,496,460 B2
• Filed: 11/15/2017
• Issued: 12/03/2019
• Est. Priority Date: 11/15/2017
• Status: Active Grant

• Current Assignee: Bank of America Corp.
• Original Assignee: Bank of America Corp.
• Inventors: Kephart, Aaron Dion, Huneycutt, Katy Leigh, Hayes, Richard LeRoy
• Primary Examiner(s): Guyton, Philip
• Application Number:
  US15/814,028
• Publication Number:
  US 20190146862A1
• Time in Patent Office: 748 Days
• CPC Class Codes: G06F 11/0709 in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems
• CPC Class Codes: G06F 11/0715 in a system implementing multitasking multitasking per se G06F9/46
• CPC Class Codes: G06F 11/0793 Remedial or corrective actions recovery from an exception in an instruction pipeline G06F9/3861; by retry G06F11/1402; for recovering from a failure of a protocol instance or entity H04L69/40
• CPC Class Codes: G06F 11/3006 where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems multiprogramming arrangements G06F9/46; allocation of resources G06F9/50
• CPC Class Codes: G06F 11/302 where the computing system component is a software system
• CPC Class Codes: G06F 11/3476 Data logging G06F11/14, G06F11/2205 take precedence

Abstract

Embodiments of the present invention provide a system for technology anomaly detection, triage, and response using solution data modeling. The system is configured for generating solution data models comprising a plurality of asset systems and a plurality of users and storing the solution data models in a model database, continuously monitoring the plurality of asset systems and detecting an anomaly associated with the one or more tasks associated with at least a first group of asset systems of the plurality of asset systems, extracting a first solution data model associated with the first group of asset systems from the model database, identifying one or more relationships associated with the first group of systems based on the extracted first solution data model, and identifying a point of failure associated with the anomaly and the first group of asset systems based on the one or more relationships.

Claims

1. A system for technology anomaly detection, triage, and response using solution data modeling, the system comprising:

one or more memory devices having computer readable code stored thereon;

wherein the one or more memory devices comprises a plurality of databases comprising a model database and a solution database;

one or more processing devices operatively coupled to the one or more memory devices, wherein the one or more processing devices are configured to execute the computer readable code to;

generate one or more solution data models comprising a plurality of asset systems and a plurality of users, wherein each of the plurality of asset systems is associated with at least one user of the plurality of users, at least a first of the plurality of asset systems is associated with at least a second of the plurality of asset systems, and the one or more solution data models are generated by;

accessing one or more authentication systems, wherein the one or more authentication systems comprise authentication information associated with the plurality of asset systems and the plurality of users;

extracting the authentication information associated with the plurality of asset systems and the plurality of users;

accessing one or more human resources systems, wherein the one or more human resources systems comprise human resources information associated with the plurality of users;

extracting the human resources information associated with the plurality of users;

accessing one or more asset management systems, wherein the one or more asset management systems comprise asset information associated with at least type and location of the plurality of asset systems;

extracting the asset information associated with plurality of asset systems;

identifying a first set of relationships between each of the plurality of asset systems based on the extracted authentication information;

identifying a second set of relationships between each of the plurality of users and each of the plurality of asset systems based on the extracted authentication information; and

formulating the one or more solution data models based on the first set of relationships, the second set of relationships, the asset information, and the human resources information;

store the one or more solution data models in the model database;

continuously monitor the plurality of asset systems;

detect an anomaly associated with one or more tasks associated with at least a first group of asset systems of the plurality of asset systems based on continuously monitoring the plurality of asset systems;

extract a first solution data model associated with the first group of asset systems from the model database based on detecting the anomaly associated with the one or more tasks;

identify one or more relationships associated with the first group of asset systems based on the extracted first solution data model; and

identify a point of failure associated with the anomaly and the first group of asset systems based on the one or more relationships, wherein the point of failure is associated with a first asset system of the first group of systems.

2. The system of claim 1, wherein identifying the one or more relationships associated with the first group of systems further comprises:

identifying one or more upstream systems associated with the first group of asset systems;

identifying one or more downstream systems associated with the first group of asset systems; and

identifying one or more applications associated with the first group of systems.

3. The system of claim 1, wherein identifying the point of failure comprises:

determining at least one change implemented on the first group of asset systems within a predetermined amount of time; and

identifying source of the at least one change implemented on the first group of asset systems based on the one or more relationships, wherein the source of the at least one change is the first asset system.

4. The system of claim 3, wherein the one or more processing devices are further configured to execute the computer readable code to:

transmit a notification to at least one user of the plurality of users associated with the first group of asset systems, wherein the notification comprises the point of failure and type of the at least one change implemented on at least the first asset system;

receive a solution from the at least one user to resolve the anomaly associated with the one or more tasks associated with the point of failure; and

implement the solution received from the at least one user, wherein the solution is associated at least with the point of failure.

5. The system of claim 4, wherein the one or more processing devices are further configured to execute the computer readable code to determine that the anomaly associated with the one or more tasks has been resolved in response to implementing the solution associated with the point of failure.

6. The system of claim 5, wherein the one or more processing devices are further configured to execute the computer readable code to store the point of failure and the solution in the solution database based on determining that the failure of the one or more tasks has been resolved.

7. A computer program product for technology anomaly detection, triage, and response using solution data modeling, the computer program product comprising at least one non-transitory computer readable medium comprises computer readable instructions for:

generating one or more solution data models comprising a plurality of asset systems and a plurality of users, wherein each of the plurality of asset systems is associated with at least one user of the plurality of users, at least a first of the plurality of asset systems is associated with at least a second of the plurality of asset systems, and the one or more solution data models are generated by;

accessing one or more authentication systems, wherein the one or more authentication systems comprise authentication information associated with the plurality of asset systems and the plurality of users;

extracting the authentication information associated with the plurality of asset systems and the plurality of users;

accessing one or more human resources systems, wherein the one or more human resources systems comprise human resources information associated with the plurality of users;

extracting the human resources information associated with the plurality of users;

accessing one or more asset management systems, wherein the one or more asset management systems comprise asset information associated with at least type and location of the plurality of asset systems;

extracting the asset information associated with plurality of asset systems;

identifying a first set of relationships between each of the plurality of asset systems based on the extracted authentication information;

identifying a second set of relationships between each of the plurality of users and each of the plurality of asset systems based on the extracted authentication information; and

formulating the one or more solution data models based on the first set of relationships, the second set of relationships, the asset information, and the human resources information;

storing the one or more solution data models in a model database;

continuously monitoring the plurality of asset systems;

detecting an anomaly associated with one or more tasks associated with at least a first group of asset systems of the plurality of asset systems based on continuously monitoring the plurality of asset systems;

extracting a first solution data model associated with the first group of asset systems from the model database based on detecting the anomaly associated with the one or more tasks;

identifying one or more relationships associated with the first group of asset systems based on the extracted first solution data model; and

identifying a point of failure associated with the anomaly and the first group of asset systems based on the one or more relationships, wherein the point of failure is associated with a first asset system of the first group of systems.

8. The computer program product of claim 7, wherein identifying the one or more relationships associated with the first group of systems further comprises:

identifying one or more upstream systems associated with the first group of asset systems;

identifying one or more downstream systems associated with the first group of asset systems; and

identifying one or more applications associated with the first group of systems.

9. The computer program product of claim 7, wherein identifying the point of failure comprises:

determining at least one change implemented on the first group of asset systems within a predetermined amount of time; and

identifying source of the at least one change implemented on the first group of asset systems based on the one or more relationships, wherein the source of the at least one change is the first asset system.

10. The computer program product of claim 9, wherein the computer program product comprising the at least one non-transitory computer readable medium further comprises computer readable instructions for:

transmitting a notification to at least one user of the plurality of users associated with the first group of asset systems, wherein the notification comprises the point of failure and type of the at least one change implemented on at least the first asset system;

receiving a solution from the at least one user to resolve the anomaly associated with the one or more tasks associated with the point of failure; and

implementing the solution received from the at least one user, wherein the solution is associated at least with the point of failure.

11. The computer program product of claim 10, wherein the computer program product comprising the at least one non-transitory computer readable medium further comprises computer readable instructions for determining that the anomaly associated with the one or more tasks has been resolved in response to implementing the solution associated with the point of failure.

12. The computer program product of claim 11, wherein the computer program product comprising the at least one non-transitory computer readable medium further comprises computer readable instructions for storing the point of failure and the solution in a solution database based on determining that the failure of the one or more tasks has been resolved.

13. A computer implemented method for technology anomaly detection, triage, and response using solution data modeling, the method comprising:

generating one or more solution data models comprising a plurality of asset systems and a plurality of users, wherein each of the plurality of asset systems is associated with at least one user of the plurality of users, at least a first of the plurality of asset systems is associated with at least a second of the plurality of asset systems, and the one or more solution data models are generated by;

accessing one or more authentication systems, wherein the one or more authentication systems comprise authentication information associated with the plurality of asset systems and the plurality of users;

extracting the authentication information associated with the plurality of asset systems and the plurality of users;

accessing one or more human resources systems, wherein the one or more human resources systems comprise human resources information associated with the plurality of users;

extracting the human resources information associated with the plurality of users;

accessing one or more asset management systems, wherein the one or more asset management systems comprise asset information associated with at least type and location of the plurality of asset systems;

extracting the asset information associated with plurality of asset systems;

identifying a first set of relationships between each of the plurality of asset systems based on the extracted authentication information;

identifying a second set of relationships between each of the plurality of users and each of the plurality of asset systems based on the extracted authentication information; and

formulating the one or more solution data models based on the first set of relationships, the second set of relationships, the asset information, and the human resources information;

storing the one or more solution data models in a model database;

continuously monitoring the plurality of asset systems;

detecting an anomaly associated with one or more tasks associated with at least a first group of asset systems of the plurality of asset systems based on continuously monitoring the plurality of asset systems;

extracting a first solution data model associated with the first group of asset systems from the model database based on detecting the anomaly associated with the one or more tasks;

identifying one or more relationships associated with the first group of asset systems based on the extracted first solution data model; and

identifying a point of failure associated with the anomaly and the first group of asset systems based on the one or more relationships, wherein the point of failure is associated with a first asset system of the first group of systems.

14. The computer implemented method of claim 13, wherein identifying the one or more relationships associated with the first group of systems further comprises:

identifying one or more upstream systems associated with the first group of asset systems;

identifying one or more downstream systems associated with the first group of asset systems; and

identifying one or more applications associated with the first group of systems.

15. The computer implemented method of claim 13, wherein identifying the point of failure comprises:

determining at least one change implemented on the first group of asset systems within a predetermined amount of time; and

identifying source of the at least one change implemented on the first group of asset systems based on the one or more relationships, wherein the source of the at least one change is the first asset system.

16. The computer implemented method of claim 15, wherein the method further comprises:

transmitting a notification to at least one user of the plurality of users associated with the first group of asset systems, wherein the notification comprises the point of failure and type of the at least one change implemented on at least the first asset system;

receiving a solution from the at least one user to resolve the anomaly associated with the one or more tasks associated with the point of failure; and

implementing the solution received from the at least one user, wherein the solution is associated at least with the point of failure.

17. The computer implemented method of claim 16, wherein the method further comprises determining that the anomaly associated with the one or more tasks has been resolved in response to implementing the solution associated with the point of failure.