Abstract: A system for providing a large set of data resources for nearly any client with a centralized collection of historical data, and a server through which changing datasets located on provider networks may be accessed through the system without having to upload them to the system. The system providers a marketplace for buying and selling of data, optionally including blockchain technology to allow for secure and/or anonymous transactions.

Abstract: A system for fully integrated collection of business impacting data, analysis of that data and generation of both analysis driven business decisions and analysis driven simulations of alternate candidate business action comprising a business data retrieval engine stored in a memory of and operating on a processor of a computing device, a business data analysis engine stored in a memory of and operating on a processor of a computing device and a business decision and business action path simulation engine stored in a memory of and operating on a processor of one of more computing devices has been developed.

Abstract: 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.

Abstract: 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.

Abstract: A system for generating a cybersecurity profile, wherein a time series data retrieval and storage server retrieves information from a prospective client, and information previously gathered, and stored, from a plurality of sources; a directed computational graph analysis module performs graph analysis on the data from the time series data retrieval and storage server; and an automated planning service module performs predictive simulation analysis on data received from the directed computational graph.

Abstract: A system and methods for sandboxed malware analysis and automated patch development, deployment and validation, that uses a business operating system, vulnerability scoring engine, binary translation engine, sandbox simulation engine, at least one network endpoint, at least one database, a network, and a combination of machine learning and vulnerability probing techniques, to analyze software, locate any vulnerabilities or malicious behavior, and attempt to patch and prevent undesired behavior from occurring, autonomously.

Abstract: A system for contextual and risk-based multi-factor authentication having a multi-dimensional time series data server configured to monitor and record a network's traffic data and to serve the traffic data to other modules and a directed computation graph module configured to receive network traffic data from the multi-dimensional time series data server, determine a network traffic baseline from the network traffic data, and determine a verification score needed before granting access based at least in part by the network traffic baseline. A plurality of verification methods build up a user's verification score to required level to gain access.

Abstract: A system for meta-indexing, search, compliance, and test framework for software development is provided, comprising an indexing service configured to create a dataset by processing and indexing source code of a project provided by a developer, perform a code audit on the indexed source code, store results from the code audit in the dataset, gather additional information relating to the provided project, store the additional information in the dataset, and store the dataset into memory; and a monitoring service configured to continuously monitor the project for at least source code changes and make changes to the dataset as needed.

Abstract: 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.

Abstract: 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.

Abstract: A system and method to identify and prevent cybersecurity attacks on modern, highly-interconnected networks, to identify attacks before data loss occurs, using a combination of human level, device level, system level, and organizational level monitoring.

Abstract: A system for comprehensive cybersecurity analysis and rating based on heterogeneous data and reconnaissance is which uses a high volume web crawler directed by an automated planning service module to establish a scope of cybersecurity analysis for a target network, perform reconnaissance of the target network, and assign scores for several types of reconnaissance, and uses a cybersecurity scoring engine to generate an aggregated cybersecurity rating from the assigned scores.

Abstract: A system and method for dynamic geospatially-referenced cyber-physical infrastructure inventory and asset management in which a wireless computing device is attached to the physical assets in an inventory, wherein each wireless computing device tracks at least one characteristic of the physical asset to which it is attached, such as the location of the physical asset, and periodically transmits an encrypted message to a second computer, which verifies the identification of the wireless computing device and that the contents of the message have not been changed, and updates the record of the physical asset in a database.

Abstract: A system for mitigation of cyberattacks employing an advanced cyber decision platform which uses 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.

Abstract: A cybersecurity system that protects against cyber attacks by performing user and device behavioral analysis using an advanced cyber decision platform which creates a map of users and devices attached to a network, develops a baseline of expected interactions and behaviors for each user and device in the map, and monitors deviations from the expected interactions and behaviors.

Abstract: A system for transfer learning and domain adaptation using distributable data models is provided, comprising a network-connected distributable model configured to serve instances of a plurality of distributable models; and a directed computation graph module configured to receive at least an instance of at least one of the distributable models from the network-connected computing system, create a second dataset from machine learning performed by a transfer engine, train the instance of the distributable model with the second dataset, and generate an update report based at least in part by updates to the instance of the distributable model.

Abstract: A system for cybersecurity rating using active and passive external reconnaissance, that uses a web crawler that sends message prompts to external hosts and receives responses from external hosts, a time-series data store that produces time-series data from the message responses, and a directed computational graph module that analyzes the time-series data to produce a weighted score representing the overall cybersecurity state of an organization.

Abstract: A system for hierarchical cooperative computing is provided, comprising a vector definition service configured to receive a user-submitted request, and compile the request into a vector; a rules engine configured to retrieve the vector from the vector definition service, and evaluate the vector for appropriateness; a parametric evaluator configured to parameterize the vector, and generate at least a run from the parameterized vector; and an optimizer configured to retrieve the run from the parametric evaluator, and determine an optimal plan for executing the user-submitted request.

Abstract: A highly scalable distributed connection interface for data capture from multiple network service sources, comprising a connector module wherein, the connector module retrieves a plurality of business related data from a plurality of network data sources; employs a plurality of application programming interface routines to communicate with the plurality of business related data sources; accepts a plurality of analysis parameters and control commands directly from human interface devices or from one or more command and control storage devices; and specifies the action or actions to be taken on the retrieved business data.

Abstract: 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.