Abstract: Systems, methods, and computer-readable storage media are utilized to analyze multi-channel data based on a security model in a computer network environment. One system includes a plurality of data channels configured to access entity data and a processing circuit communicatively coupled to a data channel of the plurality of data channels, the processing circuit configured to identify at least one vulnerability, determine an impact of the at least one vulnerability, assign the first property to a first cybersecurity dimension, generate a cybersecurity risk score based at least on the impact of the at least one vulnerability, and generate a multi-dimensional score for a target computer network environment based on the cybersecurity risk score.

Abstract: This application relates to a method for managing traffic flow in a passive optical network (PON) which connects an optical line terminal (OLT) to a plurality of optical network units (ONUs) via an optical distribution network (ODN). The method may comprise obtaining one or more optimization parameters for a target state of the PON. The method may also comprise determining for one or more or each of the ONUs, a respective modulation scheme for communicating data between the OLT and that ONU. The method may further comprise determining a respective power distribution ratio for a distributive element of the ODN for one or more of the ONUs based on the determined modulation scheme and the one or more optimization parameters. Specifically, the distributive element may have a first port and a plurality of second ports.

Abstract: A system includes a data channel configured to provide device connectivity data associated with an entity, a data channel communication network configured to communicate the device connectivity data from the data channel, and a processing circuit communicatively coupled to the data channel via the data channel communication network. The processing circuit is structured to identify a vulnerability associated with a property of the device connectivity data, generate a scanner uniform resource locator (URL) based on the property of the device connectivity data, the scanner URL including a parametrized scanner executable structured to accept as a parameter at least a part of the property of the device connectivity data, and transmit the scanner URL to a computing system.

Abstract: In an example embodiment, a solution is provided that allows for intelligent demand-driven data replication. Only the data that is needed has to be replicated, and this data can be kept only as long as needed. This allows cloud-based applications to be built that integrate deeper with the existing customer landscape with the most efficient data footprint. It allows data types that could not be used before to be integrated into an application. There are additional savings due to the reduced data footprint in the database, compared to a full data replication, without giving up resilience or response time.

Abstract: In an example embodiment, a solution is provided that allows for intelligent demand-driven data replication. Only the data that is needed has to be replicated, and this data can be kept only as long as needed. This allows cloud-based applications to be built that integrate deeper with the existing customer landscape with the most efficient data footprint. It allows data types that could not be used before to be integrated into an application. There are additional savings due to the reduced data footprint in the database, compared to a full data replication, without giving up resilience or response time.

Abstract: A method of implementing verification of a complex workflow includes partitioning the workflow into modules, wherein the modules have inputs, processing steps and outputs; selecting, from the workflow, one of the partitioned modules for independent verification by challenge thereof; running, with a computing device, a challenge of the selected module, the challenge comprising comparing reference outputs to outputs of the selected module, wherein reference inputs are received by the selected module and the reference outputs are generated using the reference inputs and one of an ideal performing module or a well-established module; determining whether outputs of the selected module meet verification criteria with respect to the reference outputs, and based on the determining, implementing one of: declaring the selected module verified; subdividing the selected module into smaller modules and repeating the challenge on the smaller modules; or declaring the selected module not verified.

Abstract: A method of implementing verification of a complex workflow includes partitioning the workflow into modules, wherein the modules have inputs, processing steps and outputs; selecting, from the workflow, one of the partitioned modules for independent verification by challenge thereof; running, with a computing device, a challenge of the selected module, the challenge comprising comparing reference outputs to outputs of the selected module, wherein reference inputs are received by the selected module and the reference outputs are generated using the reference inputs and one of an ideal performing module or a well-established module; determining whether outputs of the selected module meet verification criteria with respect to the reference outputs, and based on the determining, implementing one of: declaring the selected module verified; subdividing the selected module into smaller modules and repeating the challenge on the smaller modules; or declaring the selected module not verified.