Abstract: A system and method for large-scale internet health forecasting and internet noise analysis. The system and method feature the ability to scan for, ingest and process, and then use various data stores for capturing entity data, their relationships, and actions associated with them. This data forms the basis for cyber enrichment service databases which can used to provide information responsive to user submitted queries as well as to produce large-scale (e.g., Internet scale) simulation models using statistical models, generative ML models, massively multiplayer online gaming simulation systems, or full discrete event simulation engines or some combination. User submitted queries can be ran against the raw data or against simulations to provide simulation results that can be used improve cybersecurity for an organization against actual observed behaviors or simulations.

Abstract: A system and method for dynamic authentication attack detection an enforcement at the network, application, and host level that enables zero trust network security principles when combined with stateful authentication object tracking, authentication object manipulation and forgery detection, and assessment of authentication and identity attack surface. The methodology involves gathering all authentication objects issued by a network, storing the authentication objects in a centralized location for use in stateful deterministic authentication object tracking, scoring the completeness of the authentication risk observations, and intervening in authentication processes when the potential risk is too great.

Abstract: A system and method for the detection and mitigation of data source compromises in an adversarial information environment. The system and method feature the ability to scan for, ingest and process, and then use relational, wide column, and graph stores for capturing entity data, their relationships, and actions associated with them. Furthermore, meta-data is gathered and linked to the ingested data, which provides a broader contextual view of the environment leading up to and during an event of interest. Data quality analysis is conducted on the data as it is ingested in order to identify various data source metrics and determine if a data source may be compromised. The results of the data quality analysis, the identified metrics, the gathered data, and meta-data are used to manage the reputation of the contributing data sources. The system can make recommendations on data sources based on the data source reputation scoring.

Abstract: A system and methods for sandboxed software analysis with automated vulnerability detection and patch development, deployment and validation, comprising 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 and method for technology analysis utilizing high-performance, scalable, multitenant, dynamically specifiable, knowledge graph information storage and utilization. The system uses an in-memory associative array for high-performance graph storage and access, with a non-volatile distributed database for scalable backup storage, a scalable, distributed graph service for graph creation, an indexing search engine to increase searching performance, and a graph crawler for graph traversal. One or more of these components may be in the form of a cloud-based service, and in some embodiments the cloud-based services may be containerized to allow for multitenant co-existence with no possibility of data leakage or cross-over. The system uses a cyber-physical graph to represent an enterprise's cyber-physical system and can provide graph analysis, graph security, and graph fusion related tasks to identify potential operational risks.

Abstract: A system and method for cybersecurity reconnaissance, analysis, and scoring that uses distributed, cloud-based computing services to provide sufficient scalability for analysis of enterprise IT networks using only publicly available characterizations. The system and method comprise an in-memory associative array which manages a queue of vulnerability search tasks through a public-facing proxy network. The public-facing proxy network has search nodes configurable to present the network to search tools in a desired manner to control certain aspects of the search to obtain the desired results. A distributed data processing engine and cloud-based storage are used to provide scalable computing power and storage. Each of the cloud-based computing services is containerized and orchestrated for management and efficient scaling purposes.

Abstract: Modified manual control lever devices and methods for use with motorized vehicles having handlebar-type steering mechanisms including a handle grip are disclosed. The devices include a main body having at least one flare (a lateral surface extension) extending from a body portion. Two flares are preferred each extending from the body portion opposite one another. The length of the flares is selected so that a distal end of the control lever remains prominent and readily manually engageable. The flares are configured on the main body to extend, in use, in a direction substantially normal to the plane of control lever movement.