System

A system and method for a risk management visualization system having a computer comprising a processor and memory and configured to model a supply chain network as a supply chain planning problem, one or more key process indicators (KPIs) of the supply chain planning problem is based, at least in part, on the one or more input variables, model an impact on the one or more KPIs from each of the one or more input variables at a selected confidence interval using a Bayesian optimization process comprising an exploration phase and a learning phase, and display a visualization of the risk profile for the one or more KPIs, the visualization indicating a probability that an actual KPI value differs from a predicted KPI value.

A system and method for a risk management visualization system having a computer comprising a processor and memory and configured to model a supply chain network as a supply chain planning problem, one or more key process indicators (KPIs) of the supply chain planning problem is based, at least in part, on the one or more input variables, model an impact on the one or more KPIs from each of the one or more input variables at a selected confidence interval using a Bayesian optimization process comprising an exploration phase and a learning phase, and display a visualization of the risk profile for the one or more KPIs, the visualization indicating a probability that an actual KPI value differs from a predicted KPI value.

The present disclosure discloses detecting, by a user device, an attempt by an installed application to access a service to be provided by a service provider to the user device; determining, by the user device based at least in part on detecting the attempt, a first authentication factor based at least in part on decrypting encrypted first factor authentication information; determining, by the user device, a second authentication factor based at least in part on enabling decryption of encrypted second factor authentication information; and enabling, by the user device, authentication with the service provider based at least in part on utilizing the first authentication factor and the second authentication factor. Various other aspects are contemplated.

A system and method for lossy precompression for data compaction using automated model monitoring and training, wherein statistical analyses of test datasets are used to determine if the probability distribution of two datasets are within a pre-determined range, and responsive to that determination new encoding and decoding algorithms may be retrained in order to produce new data sourceblocks, and pre-compression of data prior to processing and statistical analysis allows for the compaction of already compressed data into highly dense formats. The new data sourceblocks may then be processed and assigned new codewords which are compiled into an updated codebook which may be distributed back to encoding and decoding systems and devices.

Provided is a method for protocol parsing for network security. The method may include receiving, by a packet capture system, a plurality of packets, parsing lower layer data from each packet, and communicating a respective payload of each respective packet to at least one first queue. A routing system may route the respective payload of each respective packet to a respective second queue of a plurality of second queues based on a respective protocol of the respective packet. A respective protocol parser node of a parsing system may parse higher layer data from the respective payload of each respective packet from each respective second queue. The packet capture system may communicate the lower layer data for each packet to a third queue, and the parsing system may communicate the higher layer data for each packet to the third queue. A system and computer program product are also disclosed.

Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.