Abstract: A system and methods for multi-language abstract digital simulation model generation and execution, comprising a meta-model structuring and creation system, meta-model mapping table, remote server, simulation execution process, computer domain specific language, and methods for user-creation and editing of meta-models, simulation models, and parametrization of simulation environments, actors, objects, and events in real-time using heuristic searching.

Abstract: A system and method for holistic network cybersecurity evaluation and risk rating that takes into account the operation of the entire target network environment comprising hardware, software, operating systems, and network connections. Not only are the hardware, software, operating system, and network evaluated separately for cybersecurity concerns, their interaction and operation as a whole are also evaluated and scored. The results of such analyses may be used, for example, by underwriters of cybersecurity insurance policies to determine policy terms and rates.

Abstract: A system and method for cybersecurity analysis utilizing high-performance, scalable, multi-tenant, 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 multi-tenant 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 cybersecurity threats.

Abstract: A system and methods for detecting and mitigating golden SAML attacks against federated services is provided, comprising an authentication object inspector configured to observe a new authentication object generated by an identity provider, and retrieve the new authentication object; and a hashing engine configured to create a security cookie for each valid authentication session; wherein subsequent access requests accompanied by authentication objects are validated by checking for a valid security cookie.

Abstract: A system and method for network cybersecurity analysis that uses user and entity behavioral analysis combined with network topology information to provide improved cybersecurity. The system and method involve gathering network entity information, establishing baseline behaviors for each entity, and monitoring each entity for behavioral anomalies that might indicate cybersecurity concerns. Further, the system and method involve incorporating network topology information into the analysis by generating a model of the network, annotating the model with risk and criticality information for each entity in the model and with a vulnerability level between entities, and using the model to evaluate cybersecurity risks to the network. Risks and vulnerabilities associated with user entities may be represented, in part or in whole, by the behavioral analyses and monitoring of those user entities.

Abstract: A system and method for self-adjusting cybersecurity analysis and score generation, wherein a reconnaissance engine gathers data about a client's computer network from the client, from devices and systems on the client's network, and from the Internet regarding various aspects of cybersecurity. Each of these aspects is evaluated independently, weighted, and cross-referenced to generate a cybersecurity score by aggregating individual vulnerability and risk factors together to provide a comprehensive characterization of cybersecurity risk using a transparent and traceable methodology. The scoring system itself can be used as a state machine with the cybersecurity score acting as a feedback mechanism, in which a cybersecurity score can be set at a level appropriate for a given organization, and data from clients or groups of clients with more extensive reporting can be used to supplement data for clients or groups of clients with less extensive reporting to enhance cybersecurity analysis and scoring.

Abstract: A system and method have been devised for optimization and load balancing for computer clusters, comprising a distributed computational graph, a server architecture using multi-dimensional time-series databases for continuous load simulation and forecasting, a server architecture using traditional databases for discrete load simulation and forecasting, and using a combination of real-time data and records of previous activity for continuous and precise load forecasting for computer clusters, datacenters, or servers.

Abstract: 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.

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 for detecting and mitigating attacks using forged authentication objects within a domain is provided, comprising an authentication object inspector configured to observe a new authentication object generated by an identity provider, and retrieve the new authentication object; and a hashing engine configured to retrieve the new authentication object from the authentication object inspector, calculate a cryptographic hash for the new authentication object, and store the cryptographic hash for the new authentication object in a data store; wherein subsequent access requests accompanied by authentication objects are validated by comparing hashes for each authentication object to previous generated hashes.

Abstract: A system and methods for detecting and mitigating golden SAML attacks against federated services is provided, comprising an authentication object inspector configured to observe a new authentication object generated by an identity provider, and retrieve the new authentication object; and a hashing engine configured to create a security cookie for each valid authentication session; wherein subsequent access requests accompanied by authentication objects are validated by checking for a valid security cookie.

Abstract: A system and methods for mitigating golden ticket attacks within a domain is provided, comprising an authentication object inspector configured to observe a new authentication object generated by an identity provider, and retrieve the new authentication object; and a hashing engine configured to retrieve the new authentication object from the authentication object inspector, calculate a cryptographic hash for the new authentication object, and store the cryptographic hash for the new authentication object in a data store; wherein subsequent access requests accompanied by authentication objects are validated by comparing hashes for each authentication object to previous generated hashes.

Abstract: A system and method for the detection and mitigation of Kerberos golden ticket, silver ticket, and related identity-based cyberattacks by passively monitoring and analyzing Kerberos and authentication operations within the network. The system and method provide real-time detections of identity attacks using time-series data and data pipelines, and by transforming the stateless Kerberos protocol into stateful protocol. A packet capturing agent is deployed on the network where captured time-series Kerberos and related event and log information is processed in distributed computational graph (DCG) stages where declarative rules determine if an attack is being carried out and what type of attack it is.

Abstract: A system and method for the detection and mitigation of Kerberos golden ticket, silver ticket, and related identity-based cyberattacks by passively monitoring and analyzing Kerberos and authentication operations within the network. The system and method provide real-time detections of identity attacks using time-series data and data pipelines, and by transforming the stateless Kerberos protocol into stateful protocol. A packet capturing agent is deployed on the network where captured time-series Kerberos and related event and log information is processed in distributed computational graph (DCG) stages where declarative rules determine if an attack is being carried out and what type of attack it is.

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 and method for geolocation-aware, cyber-enabled infrastructure inventory and asset management with state prediction capability. The system tracks tangible and intangible assets, including states associated with each asset such as the location, condition, and value of each asset. Physical assets may be cyber-enabled by attaching wireless computing devices to some or all of the physical assets to provide data about the physical assets using sensors of the computing devices, including but not limited to, such data as location, conditions of storage, and hours of operation or use. Data for each item is stored in a multi-dimensional time series database, which keeps a historical record of the states of each item. Unknown or future states can be predicted by applying predictive models to the time series data. Parametric evaluations of current and predicted future states can be used to optimize the assets against an objective.

Abstract: A system and method for dynamic geospatially-referenced cyber-physical infrastructure inventory and asset management using state models, wherein a computing device with a geolocation device and wireless networking capability is attached to each of a plurality of physical assets, and used to periodically determine a state of the physical asset to which it is attached using the geolocation device, periodically generate a status update message and send it to a remote computer, and wherein the remote computer stores the status of the physical asset as time series data in a state model and, if a status message is not received in a defined period of time, applies a machine learning algorithm to the state model to predict a current or future state of that particular physical asset.

Abstract: A system for detecting and mitigating forged authentication object attacks is provided, comprising an authentication object inspector configured to observe a new authentication object generated by an identity provider, and retrieve the new authentication object; and a hashing engine configured to retrieve the new authentication object from the authentication object inspector, calculate a cryptographic hash for the new authentication object, and store the cryptographic hash for the new authentication object in a data store; wherein subsequent access requests accompanied by authentication objects are validated by comparing hashes for each authentication object to previous generated hashes.

Abstract: An intelligent peer-to-peer fundraising campaign platform is provided for managing charitable and for profit campaigns. The platform includes capabilities for creating and managing campaigns by supporters, retrieving person data for supporters and leads for the campaign, relationship data and other attributes including affinity data, donation history data, potential and financial data and storing such data in the form of social graph. The campaign platform also helps supporters of a campaign to identify leads, send personalized communication to the leads for enlisting support to the campaign, determine donor outcomes with respect to each personalized communication sent to the lead; and updating or reinforcing a donor prediction model based on the donor outcome.

Abstract: A system for detecting and mitigating attacks using forged authentication objects within a domain is provided, comprising an authentication object inspector configured to observe a new authentication object generated by an identity provider, and retrieve the new authentication object; and a hashing engine configured to retrieve the new authentication object from the authentication object inspector, calculate a cryptographic hash for the new authentication object, and store the cryptographic hash for the new authentication object in a data store; wherein subsequent access requests accompanied by authentication objects are validated by comparing hashes for each authentication object to previous generated hashes.