Abstract: A system and method for data mining using domain-level context is provided. The system includes a computer system and a contextual data mining engine executed by the computer system. The system mines and analyzes large volumes of open-source documents/data for analysts to quickly find documents of interest. Documents/data are encoded into an ontological database and represented as a graph in the database linking contextual entities to find patterns and anomalies in context. Documents are separately analyzed by the system and scored on several different scales. The resulting information could be presented to the user via a visualization interface which allows the user to explore the data and quickly navigate to documents of interest.

Abstract: A system and method for secure document distribution is provided. The system includes a computer system and a secure document distribution engine. The system includes a two-factor authentication system that includes a password and a hardware component. Documents can be accessed from a network (e.g., the Internet, a cloud computing resource, etc.), via a link as an e-mail attachment, or as a stored file. Redistribution of documents by malicious authorized users is not possible without attribution due to the view-only nature of the system in combination with other measures that include event logging and document watermarking. Access can be revoked or blocked in real time, regardless of how the files were distributed or where they reside.