US 11,310,259 B2Granted

Cybersecurity architectural network based on artificial intelligence

AssigneeBank of America Corporation

InventorsJoshua Nathanael Jenkins, Michael Sbandi, Michael Robert Young

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Abstract

A system for using artificial intelligence to generate a computing network architecture diagram based on user inputs, applicable vulnerability/cyber threat data and internal/external compliance/audit regulation data. In addition, machine-learning techniques may be used that leverage previously implemented computing network architectures. The computing network architecture diagram may be generated absent a baseline diagram or the user inputs may define at least a portion of an initial/baseline network architecture diagram that is modified based on the vulnerability/cyber threat data, the internal/external compliance/audit regulation data and/or the previously implemented computing network architectures. In additional embodiments of the invention, new/emerging vulnerabilities and cyber threats are detected, and in real-time response, adjustments to the computing network infrastructure and determined and implemented.

Claims20

Dependent claims

A system for assuring security in designing a computing network architecture, the system comprising:

a computing network vulnerability database configured to store first data associated with computing network vulnerabilities;
a computing network regulation database configured to store second data associated with internal and external computing network regulations;
and
a computer platform in distributed network communication with the computing network vulnerability and computing network regulation databases and including a memory and at least one computing processor in communication with the memory, wherein the memory stores first instructions executable by the at least one processor, and configured to:
receive user inputs that define parameters for designing a computing network architecture,
access the computing network vulnerability database and determine, by artificial intelligence (AI) processing including machine learning (ML), a portion of the first data associated with computing network vulnerabilities responsive to the user inputs;
access the computing network regulation database and determine, by AI processing including ML, a portion of the second data associated with internal and external computing network regulations responsive to the user inputs, and
generate, by AI processing including ML, a computing network architecture diagram based on (i) the user inputs, (ii) the portion of the first data associated with the computing network vulnerabilities, and (iii) the portion of the second data associated the internal and external computing network regulations.

5 more elements

A computer-implemented method for assuring security in designing a computing network architecture, the method implemented by one or more processing devices and including:

receiving user inputs that define parameters for designing a computing network architecture;
accessing a computing network vulnerability database and determining, by artificial intelligence (AI) processing including machine learning (ML), first data associated with computing network vulnerabilities responsive to the user inputs;
accessing a computing network regulation database and determining, by AI processing including ML, second data associated with internal and external computing network regulations responsive to the user inputs;
and
generating, by AI processing including ML, a computing network architecture diagram based on (i) the user inputs, (ii) the first data associated with the computing network vulnerabilities, and (iii) the second data associated the internal and external computing network regulations.

2 more elements

A computer program product comprising:

a non-transitory computer-readable medium comprising:
a first set of codes for causing a computer to receive user inputs that define parameters for designing a computing network architecture;
a second set of codes for causing a computer to access a computing network vulnerability database and determine, by artificial intelligence (AI) processing including machine learning (ML), first data associated with computing network vulnerabilities responsive to the user inputs;
a third set of codes for causing a computer to access a computing network regulation database and determine, by AI processing including ML, second data associated with internal and external computing network regulations responsive to the user inputs;
and
a fourth set of codes for causing a computer to generate, by AI processing including ML, a computing network architecture diagram based on (i) the user inputs, (ii) the first data associated with the computing network vulnerabilities, and (iii) the second data associated the internal and external computing network regulations.

3 more elements

Dependencies are inferred from the claim text.