Abstract: A method, computer program product, and computer system for applying deductive artificial intelligence (AI) attribution and auditability to data inputs, wherein the deductive AI may account for ontologies and competing system information, and wherein the deductive AI attribution and auditability may be applied to the data inputs by user workflow. The data inputs applied with the deductive AI attribution and auditability may be processed via a feedback loop to align a sense-understand-decide-act (SUDA) understanding with an inductive AI understanding. The inductive AI may be automated via the feedback loop based upon, at least in part, an AI expert system processing of the data inputs. One or more policy based rules may be developed for user automation authorization based upon, at least in part, the feedback loop.

Abstract: A method, computer program product, and computer system for applying deductive artificial intelligence (AI) attribution and auditability to data inputs, wherein the deductive AI may account for ontologies and competing system information, and wherein the deductive AI attribution and auditability may be applied to the data inputs by vendor workflow. The data inputs applied with the deductive AI attribution and auditability may be processed via a feedback loop to align a sense-understand-decide-act (SUDA) understanding with an inductive AI understanding. The inductive AI may be automated via the feedback loop based upon, at least in part, an AI expert system processing of the data inputs. One or more policy based rules may be developed for user automation authorization based upon, at least in part, the feedback loop.

Abstract: A method, computer program product, and computer system for applying a firewall security layer to software for hardware interface. Sensor data imported by the hardware interface may be secured using the firewall security layer. The sensor data may be provided to an artificial intelligence (AI) expert system. The sensor data provided to the AI expert system may be analyzed. An indication of an insecure condition may be provided via a user interface based upon, at least in part, analysis of the sensor data.

Abstract: A method, computer program product, and computer system for applying a firewall security layer to software for hardware interface. Sensor data imported by the hardware interface may be secured using the firewall security layer. The sensor data may be provided to an artificial intelligence (AI) expert system. The sensor data provided to the AI expert system may be analyzed. An indication of an insecure condition may be provided via a user interface based upon, at least in part, analysis of the sensor data.

Abstract: A method, computer program product, and computer system for utilizing a first plurality of APIs operating on a first module, wherein the first module may be transportable during operation. A second plurality of APIs operating on a second module may be utilized, wherein the second module may be transportable during operation, wherein the second module may include kernel level binary validation and restoration software, and wherein at least one of the first module and the second module may be interconnected to a mesh topology that maintains asymmetric redundancy. An asset may be interfaced with the second module. It may be determined whether the asset is end-to-end secure based upon, at least in part, the kernel level binary validation and restoration software. An interface may be established between the asset and the first module based upon, at least in part, determining that the asset is secure.

Abstract: A method, computer program product, and computer system for coordinating a plurality of node clusters. A mesh topology may be applied across the plurality of node clusters for a plurality of data packets transported through multiple upstream and downstream paths in the plurality of node clusters. Latency may be accounted for in the mesh topology between a first portion of data packets of the plurality of data packets delivered through network independent node clusters of the plurality of node clusters. Latency may be accounted for in the mesh topology between a second portion of data packets of the plurality of data packets delivered through network dependent node clusters of the plurality of node clusters. Data associated with the plurality of data packets may be synchronized by applying the mesh topology across a centralized topology of containers associated with the plurality of node clusters, wherein the mesh topology maintains asymmetric redundancy of the centralized topology of containers.

Abstract: A method, computer program product, and computer system for applying deductive artificial intelligence (AI) attribution and auditability to data inputs, wherein the deductive AI may account for ontologies and competing system information, and wherein the deductive AI attribution and auditability may be applied to the data inputs by user workflow. The data inputs applied with the deductive AI attribution and auditability may be processed via a feedback loop to align a sense-understand-decide-act (SUDA) understanding with an inductive AI understanding. The inductive AI may be automated via the feedback loop based upon, at least in part, an AI expert system processing of the data inputs. One or more policy based rules may be developed for user automation authorization based upon, at least in part, the feedback loop.

Abstract: A method, computer program product, and computer system for applying a firewall security layer to software for hardware interface. Sensor data imported by the hardware interface may be secured using the firewall security layer. The sensor data may be provided to an artificial intelligence (AI) expert system. The sensor data provided to the AI expert system may be analyzed. An indication of an insecure condition may be provided via a user interface based upon, at least in part, analysis of the sensor data.

Abstract: A method, computer program product, and computer system for coordinating a plurality of node clusters. A mesh topology may be applied across the plurality of node clusters for a plurality of data packets transported through multiple upstream and downstream paths in the plurality of node clusters. Latency may be accounted for in the mesh topology between a first portion of data packets of the plurality of data packets delivered through network independent node clusters of the plurality of node clusters. Latency may be accounted for in the mesh topology between a second portion of data packets of the plurality of data packets delivered through network dependent node clusters of the plurality of node clusters. Data associated with the plurality of data packets may be synchronized by applying the mesh topology across a centralized topology of containers associated with the plurality of node clusters, wherein the mesh topology maintains asymmetric redundancy of the centralized topology of containers.

Abstract: A method, computer program product, and computer system for utilizing a first plurality of APIs operating on a first module, wherein the first module may be transportable during operation. A second plurality of APIs operating on a second module may be utilized, wherein the second module may be transportable during operation, wherein the second module may include kernel level binary validation and restoration software, and wherein at least one of the first module and the second module may be interconnected to a mesh topology that maintains asymmetric redundancy. An asset may be interfaced with the second module. It may be determined whether the asset is end-to-end secure based upon, at least in part, the kernel level binary validation and restoration software. An interface may be established between the asset and the first module based upon, at least in part, determining that the asset is secure.

Abstract: A method, computer program product, and computer system for applying deductive artificial intelligence (AI) attribution and auditability to data inputs, wherein the deductive AI may account for ontologies and competing system information, and wherein the deductive AI attribution and auditability may be applied to the data inputs by vendor workflow. The data inputs applied with the deductive AI attribution and auditability may be processed via a feedback loop to align a sense-understand-decide-act (SUDA) understanding with an inductive AI understanding. The inductive AI may be automated via the feedback loop based upon, at least in part, an AI expert system processing of the data inputs. One or more policy based rules may be developed for user automation authorization based upon, at least in part, the feedback loop.