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.

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.