System and method for implementing a behavior driven architecture module

Patent metadata

Field	Value
Publication number	US-12047409-B2
Application number	US-202217653230-A
Country	US
Kind code	B2
Filing date	Mar 2, 2022
Priority date	Mar 2, 2021
Publication date	Jul 23, 2024
Grant date	Jul 23, 2024

Abstract

Various methods, apparatuses/systems, and media for implementing a behavior driven architecture module is disclosed. A processor operatively connected to a database a communication network. The processor accesses the database to obtain patterns information data, data contracts information data, and dependencies information data associated with an application's architecture; implements a natural language processing algorithm to describe behavior of the application's architecture and to build a plurality of contexts data providing characteristics information related to each component of the application's architecture; implements a conversational artificial intelligence algorithm to receive input responses to fill in missing gaps corresponding to the application' architecture; integrates the received input responses with the patterns information data, data contracts information data, and dependencies information data associated with the application's architecture; and generates, in response to integrating, a graph having a unique shape that describes the characteristics information related to each component of the application's architecture.

First claim

What is claimed is:

1. A method for implementing a behavior driven architecture module by utilizing one or more processors and one or more memories, the method comprising:
accessing a database to obtain patterns information data, data contracts information data, and dependencies information data associated with an application's architecture;
implementing a natural language processing algorithm to describe behavior of the application's architecture and to build a plurality of contexts data providing characteristics information related to each component of the application's architecture;
implementing a conversational artificial intelligence algorithm to receive input responses to fill in missing gaps corresponding to the application's architecture;
integrating the received input responses with the patterns information data, data contracts information data, and dependencies information data associated with the application's architecture; and
generating, in response to integrating, a graph having a unique shape that describes the characteristics information related to each component of the application's architecture and that describes the behavior of how the application should work, identifies a location in the application's architecture where the application's architecture is subjected to a risk, and identifies a location in the application's architecture where mitigating controls or control requirements should exist in the application's architecture.

2. The method according to claim 1 , further comprising:
certifying the graph having the unique shape; and
implementing the graph in a process for identifying that a particular component having a certain characteristic meets a certain control or other compliance certification for deploying into an application development environment, or an application testing environment, or an application production environment.

3. The method according to claim 2 , wherein the control includes one or more of the following: regulatory control, cybersecurity control, and general policy within an organization.

4. The method according to claim 1 , wherein the risk includes one or more of the following: cybersecurity risk, operational risk, public or internet attack risk, and internet originated cybersecurity attack risk.

5. The method according to claim 1 , further comprising:
representing a particular component in the application's architecture based the unique shape of the graph and relationships between nodes in the graph.

6. The method according to claim 1 , further comprising:
automatically updating the graph and relationships between nodes in the graph in real time based on one or more of the following: receiving real time additional data, change data corresponding to development of the application, testing of the application, and production of the application that is output from a developer computing device.

7. The method according to claim 1 , further comprising:
accessing the database to obtain patterns information data, data contracts information data, and dependencies information data associated with a plurality of applications each having a unique shape that is different from a shape of another application among said plurality of applications; and
implementing a natural language processing algorithm to describe behavior of a corresponding architecture associated with each application;
implementing a conversational artificial intelligence algorithm to receive input responses to fill in missing gaps associated with the corresponding architecture;
integrating the received input responses with the patterns information data, data contracts information data, and dependencies information data; and
generating a graph for each application such that a graph for one application is unique in shape than a graph for another application among said plurality of applications.

8. A system for implementing a behavior driven architecture module, the system comprising:
a processor; and
a memory operatively connected to the processor via a communication interface, the memory storing computer readable instructions, when executed, causes the processor to:
access a database to obtain patterns information data, data contracts information data, and dependencies information data associated with an application's architecture;
implement a natural language processing algorithm to describe behavior of the application's architecture and to build a plurality of contexts data providing characteristics information related to each component of the application's architecture;
implement a conversational artificial intelligence algorithm to receive input responses to fill in missing gaps corresponding to the application's architecture;
integrate the received input responses with the patterns information data, data contracts information data, and dependencies information data associated with the application's architecture; and
generate, in response to integrating, a graph having a unique shape that describes the characteristics information related to each component of the application's architecture and that describes the behavior of how the application should work, identifies a location in the application's architecture where the application's architecture is subjected to a risk, and identifies a location in the application's architecture where mitigating controls or control requirements should exist in the application's architecture.

9. The system according to claim 8 , wherein the processor is further configured to:
certify the graph having the unique shape; and
implement the graph in a process for identifying that a particular component having a certain characteristic meets a certain control or other compliance certification for deploying into an application development environment, or an application testing environment, or an application production environment.

10. The system according to claim 9 , wherein the control includes one or more of the following: regulatory control, cybersecurity control, and general policy within an organization.

11. The system according to claim 8 , wherein the risk includes one or more of the following: cybersecurity risk, operational risk, public or internet attack risk, and internet originated cybersecurity attack risk.

12. The system according to claim 8 , wherein the processor is further configured to:
represent a particular component in the application's architecture based the unique shape of the graph and relationships between nodes in the graph.

13. The system according to claim 8 , wherein the processor is further configured to:
automatically update the graph and relationships between nodes in the graph in real time based on one or more of the following: receiving real time additional data, change data corresponding to development of the application, testing of the application, and/or production of the application that is output from a developer computing device.

14. The system according to claim 8 , wherein the processor is further configured to:
access the database to obtain patterns information data, data contracts information data, and dependencies information data associated with a plurality of applications each having a unique shape that is different from a shape of another application among said plurality of applications; and
implement a natural language processing algorithm to describe behavior of a corresponding architecture associated with each application;
implement a conversational artificial intelligence algorithm to receive input responses to fill in missing gaps associated with the corresponding architecture;
integrate the received input responses wit

Assignees

• Jpmorgan Chase Bank Na

Inventors

• Eavy Ryan
• Fiorini Michael P
• Rajesh Srividya
• Seshadri Vikram
• Byrne Colleen G
• Okpoko Olisa Obinna

Classifications

• H04L63/1433 Primary

  Vulnerability analysis · CPC title

• H04L63/20

  for managing network security; network security policies in general (filtering policies H04L63/0227) · CPC title

• H04L63/1466 Primary

  Active attacks involving interception, injection, modification, spoofing of data unit addresses, e.g. hijacking, packet injection or TCP sequence number attacks · CPC title