公开(公告)号：US11074652B2

公开(公告)日：2021-07-27

申请号：US16575929

申请日：2019-09-19

申请人： QOMPLX, Inc.

发明人： Jason Crabtree ,  Andrew Sellers

IPC分类号： G06Q40/06 ,  G06N5/04 ,  G06N20/00 ,  G06F16/951

摘要： A system and method for crowd-sourced refinement of natural phenomenon for risk management and contract validation, comprising at least a heterogeneous mixture of sensors and data-gathering techniques, a sensor fusion suite, and a business operating system, which ingests, transforms if necessary, and analyzes received data and develops and applies models of prediction of consequences of the sensor data and future events based on such data for purposes such as insurance liability and risk assessment, emergency services planning, and financial market predictions, and comparing historical models and data with current data and models to attempt to refine and utilize a more precise predictive model for these purposes.

公开(公告)号：US20210174255A1

公开(公告)日：2021-06-10

申请号：US17099897

申请日：2020-11-17

申请人： QOMPLX, Inc.

发明人： Jason Crabtree ,  Andrew Sellers

IPC分类号： G06N20/00 ,  G06K9/62 ,  H04L29/08 ,  G06F16/951 ,  G06N5/02 ,  G06F16/215

摘要： A system for improving a distributable model with distributed data is provided, comprising a network-connected distributable model source configured to serve instances of a distributable model; and a directed computation graph module configured to receive at least an instance of the distributable model from the network-connected computing system, create a cleansed dataset from data stored in the memory with at least biases within the data stored in memory corrected, train the instance of the distributable model with the cleansed dataset, and generate an update report based at least in part by updates to the instance of the distributable model.

公开(公告)号：US20210173831A1

公开(公告)日：2021-06-10

申请号：US17084263

申请日：2020-10-29

申请人： QOMPLX, Inc.

发明人： Jason Crabtree ,  Andrew Sellers

IPC分类号： G06F16/245 ,  G06F16/248 ,  G06F16/901 ,  G06N5/04 ,  G06F40/30

摘要： A system for analyzing graph databases using intelligent reasoning systems including scalable collection of, and transformation of, graph data into facts suitable for use with programming logic languages doing deductive reasoning. A graph analyzer ingests disparate graph data from across the Internet and transforms the graph data into a fact table. In order to reduce latency and processing congestion, a stream processing engine and sharding strategy are employed to ensure scalability through parallelized processing of programming logic queries. Transformed graph data, now relational data, is utilized with programming logic languages that allow for hypothetical queries whereby an inference engine can deduce new information to satisfy such a query. Furthermore, the self-contained nature of inputs, outputs, and transformations of the system means strict data provenance can be observed and adhered to.

公开(公告)号：US20210136120A1

公开(公告)日：2021-05-06

申请号：US16945698

申请日：2020-07-31

申请人： QOMPLX, Inc.

发明人： Jason Crabtree ,  Andrew Sellers ,  Randy Clayton ,  Angad Salaria ,  Roman Tejada

IPC分类号： H04L29/06 ,  G06F16/951 ,  G06F16/2458

摘要： A system and method for universalization and contextualization of computing assets that utilizes structure, organization, and ontologically-related metadata to unify computing assets into a common data model combined with provenance-related metadata to contextualize the assets for suitability in a given situation. The system and method include an asset registry that contains provenance information and ontological information about available computing assets, a provenance manager which tracks the provenance of each asset for data validation and contextual analysis purposes, an ontology manager that uses ontological relationships among assets to determine other domains in which an asset may be useful, and an interoperability manager which combines the provenance and ontology outputs to suggest computing assets that may be useful in a given context.

公开(公告)号：US20210109946A1

公开(公告)日：2021-04-15

申请号：US17002425

申请日：2020-08-25

申请人： QOMPLX, Inc.

发明人： Jason Crabtree ,  Andrew Sellers

IPC分类号： G06F16/25 ,  G06N5/02 ,  G06F16/901 ,  H04L29/06

摘要： A system for contextual data collection and extraction is provided, comprising an extraction engine configured to receive context from a user for desired information to extract, connect to a data source providing a richly formatted dataset, retrieve the richly formatted dataset, process the richly formatted dataset and extract information from a plurality of linguistic modalities within the richly formatted, and transform the extracted data into a extracted dataset; and a knowledge base construction service configured to retrieve the extracted dataset, create a knowledge base for storing the extracted dataset, and store the knowledge base in a data store.

公开(公告)号：US20210092162A1

公开(公告)日：2021-03-25

申请号：US17008351

申请日：2020-08-31

申请人： QOMPLX, Inc.

发明人： Jason Crabtree ,  Andrew Sellers ,  Richard Kelley

IPC分类号： H04L29/06 ,  G06F16/951 ,  G06F16/2458

摘要： A system and method for the secure and private demonstration of cloud-based cyber-security tools. Using an advanced sandboxing design patterns, isolated instances of virtual networks allow a potential client to compare their existing cyber defense tools against a set of cloud-based tools. Capitalizing on non-persistent and secure sandboxes allow the invention to demonstrate fully functional and devastating cyber-attacks while guaranteeing strict privacy and security to both existing customers and potential ones. Additionally, instantiating separate sandboxed observed systems in a single multi-tenant infrastructure provide each customer with the ability to rapidly create actual representations of their enterprise environment offering the most realistic and accurate demonstration and comparison between products.

公开(公告)号：US20210092150A1

公开(公告)日：2021-03-25

申请号：US16945743

申请日：2020-07-31

申请人： QOMPLX, Inc.

发明人： Jason Crabtree ,  Andrew Sellers

IPC分类号： H04L29/06

摘要： A system for mitigation of cyberattacks employing an advanced cyber decision platform comprising a time series data store, a directed computational graph module, an action outcome simulation module, and observation and state estimation module, wherein the state of a network is monitored and used to produce a cyber-physical graph representing network resources, simulated network events are produced and monitored, and the network events and their effects are analyzed to produce security recommendations.

公开(公告)号：US20210035224A1

公开(公告)日：2021-02-04

申请号：US16928194

申请日：2020-07-14

申请人： QOMPLX, Inc.

发明人： Jason Crabtree ,  Andrew Sellers

IPC分类号： G06Q40/08 ,  G06Q10/06 ,  G06Q10/10 ,  G06N20/00

摘要： A system and method that utilizes telemetric data for the dynamic pricing of insurance premiums for arbitrary and optionally multiple perils which receives telemetric data from sensors and other sources of data, analyzes the data for changes in risk associated with a parameter of an insurance policy, and dynamically adjusts policy premiums to account for individual policy risks as well as accounting for risks within the insurer's complete portfolio.

公开(公告)号：US10860951B2

公开(公告)日：2020-12-08

申请号：US15790327

申请日：2017-10-23

申请人： QOMPLX, Inc.

发明人： Jason Crabtree ,  Andrew Sellers

IPC分类号： G06N20/00 ,  G06K9/62 ,  H04L29/08 ,  G06F16/951 ,  G06N5/02 ,  G06F16/215

摘要： A system for improving a distributable model with distributed data is provided, comprising a network-connected distributable model source configured to serve instances of a distributable model; and a directed computation graph module configured to receive at least an instance of the distributable model from the network-connected computing system, create a cleansed dataset from data stored in the memory with at least biases within the data stored in memory corrected, train the instance of the distributable model with the cleansed dataset, and generate an update report based at least in part by updates to the instance of the distributable model.

公开(公告)号：US10860660B2

公开(公告)日：2020-12-08

申请号：US15787601

申请日：2017-10-18

申请人： QOMPLX, Inc.

发明人： Jason Crabtree ,  Andrew Sellers

IPC分类号： G06F16/30 ,  G06F16/95 ,  H04L29/08 ,  G06F16/901 ,  G06F16/2455

摘要： A system for customized crowd-sourced data gathering and extraction wherein a client may request that certain data be gathered, and the system will optimally provide the data through a combination of stored data, one or more remote devices with sensing capabilities, and human operators. The system has predictive capability to optimize notifications to human operators likely to be in the area of a data gathering request at the necessary time and likely to be available to gather the requested data. Human operators may be compensated for their data gathering, and may gather data, or parts thereof, as an adjunct to other activities.