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 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. A data packet modifier is used to reveal the IP address of a threat actor behind a port scan and subsequently block the threat actor. Each of the cloud-based computing services is containerized and orchestrated for management and efficient scaling purposes.

Abstract: A system and methods for mitigating Kerberos 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 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 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: 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 method for analyzing integrated operational technology and information technology systems with sufficient granularity to predict their behavior with a high degree of accuracy. The system and method involve creating high-fidelity models of the operational technology and information technology systems using one or more cyber-physical graphs, performing parametric analyses of the models to identify key components, scaling the parametric analyses of the models to analyze the key components at a greater level of granularity, and iteratively improving the models testing them against in-situ data from the real-world systems represented by the high-fidelity models.

Abstract: A system and method for a highly scalable distributed connection interface for data capture from multiple network service sources. The connection interface is designed to enable simple to initiate, performant and highly available input/output from a large plurality of external networked service's and application's application programming interfaces (API) to the modules of an integrated predictive business operating system. To handle the high volume of information exchange, the connection interface is distributed and designed to be scalable and self-load-balancing. The connection interface possesses robust expressive scripting capabilities that allow highly specific handling rules to be generated for the routing, transformation, and output of data within the business operating system.

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 method for trigger-based scanning of cyber-physical assets, including a distributed operating system, parameter evaluation engine, at least one cyber-physical asset, at least one crypt-ledger, a network, and a scanner that detects trigger conditions and events and performs scans of cyber-physical assets based on the trigger and any relevant stored scan rules before storing scan results as time-series data.

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 automated cybersecurity defensive strategy analysis that predicts the evolution of new cybersecurity attack strategies and makes recommendations for cybersecurity improvements to networked systems based on a cost/benefit analysis. The system and method use machine learning algorithms to run simulated attack and defense strategies against a model of the networked system created using a directed graph. Recommendations are generated based on an analysis of the simulation results against a variety of cost/benefit indicators.

Abstract: A system for multitemporal data analysis is provided, comprising a directed computation graph service module configured to receive input data from a plurality of sources, analyze the input data to determine a best course of action for analyzing the input data, and split the input data for queueing to a general transformer service module or a decomposable service module based at least in part by analysis of the input data; a general transformer service module configured to receive data from the directed computation graph service module, and perform analysis on the received data; and a general transformer service module configured to receive data from directed computational graph module, and perform analysis on the received data.

Abstract: A system and method for the contextualization and management of collaborative databases 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. The gathered data and meta-data is used to manage the reputation of the contributing data sources. The system links each successive data set, algorithm, or meta-data which might pertain to its unique identification and to its ultimate reputation, utility, or fitness for purpose.

Abstract: A system for detecting and mitigating forged authentication object attacks in federated environments is provided, comprising an event inspector to monitor logs and detect vulnerable events, an authentication object inspector configured to observe a new authentication object generated by an identity provider, and intercept the new authentication object; and a hashing engine configured to calculate a cryptographic hash for the new authentication object, and store the cryptographic hash for the new authentication object in the SAML response; 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 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 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 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 and method for generating comprehensive security profiles and ratings for organizations that takes into account the organization's infrastructure and operations in generating the profile, and the context and purpose of the rating to be generated related to the profile. The system and method may further comprise gathering data about the totality of the organization's infrastructure and operations, generating a cybersecurity profile using active and passive internal and external reconnaissance of the organization to determine cybersecurity vulnerabilities and potential impacts to the business in light of the information gathered about the organization's infrastructure and operations, and generating cybersecurity scores and ratings that take into account all of the above information, plus the context and purpose of the score or rating to be generated based on the cybersecurity profile.