Securboration, Inc.

Securboration to Develop Cognitive Knowledge-Aided Interface

Securboration has been awarded a contract by the U.S. Army to develop a cognitive knowledge-aided interface along with supporting information processing techniques to exploit very large data streams and autonomously highlight areas of interest for personnel with limited or no prior knowledge of the area. Securboration will build the Augmented Reality for Tactical Edge Analysis, ARTEA, system to satisfy the requirements. ARTEA will apply deep machine learning and noise reduction algorithms to big-data social media streams to identify patterns, extract attitude trends and shifts, and present the most salient features of the derived knowledge immediately to the edge soldier via non-intrusive augmented reality devices such as Google Glass. ARTEA will use a new approach to knowledge discovery that will flatten the intelligence hierarchy by using social media to enable the edge soldier to act as a vital, active participant in the analysis process.

Securboration develops Collaborative Event Processing Environment (CEPE) for USTRANSCOM

Securboration has been awarded a contract to develop the Collaborative Event Processing Environment (CEPE) for USTRANSCOM. CEPE will wrap current Fusion Center Knowledge Management (KM) capabilities in a graphical user interface (GUI) allowing direct Subject Matter Expert (SME) editing of ontologies and topics, predictive assessment of the meta-tagging and routing impact of these edits, and configuration management of Fusion Center knowledge representation resources. CEPE will be a browser-based tool compatible with the Fusion Center’s existing network and content management footprint, and will capture user feedback and expertise, learning preferences and domain knowledge over time. Rather than attempt to turn SMEs into ontologists, CEPE will bring many repeatable, automatable knowledge representation processes under the SMEs’ control, utilizing a wizard type approach and learning over time to usefully match feedback patterns to new knowledge and improved meta-tagger and message routing behavior.

Securboration Wins Air Force Contract for Sensitive Data Disclosure Risk Calculation System

Securboration has been awarded a contract by the Air Force Research Laboratory (AFRL) to develop algorithms to automatically categorize and quantify the security risks from disclosure of information. It is important to accurately assess the risk associated with different types of information so that protection effort is focused on the most potentially damaging leaks. For some types of information, such as passwords or encryption keys, the consequences of leaking even a few bits of information can be very severe. Securboration will develop the RIsk QUantification and ESTimation (RIQUEST) system to extend the state-of-the art in automatic risk disclosure quantification by applying probabilistic inference to information automatically extracted from open sources.  This effort will focus on three areas that are essential for auto-risk disclosure: Text Analytics, Probabilistic Inference; and Causal Analysis. By making technological advancements in each, Securboration will create a unique and innovative system that performs auto-risk disclosure by ingesting data from multiple heterogeneous data streams, extracting information pertinent to the a piece of sensitive information from those streams, quantifying impacts that the discovered information have on the overall security posture of the sensitive information, and providing complete traceability and transparency into the disclosure risk causes for sensitive information.

Securboration to develop Cross-Organizational Semantic Services (CrOSS) for the Joint Planning and Development Office (JPDO)

Securboration, working with the JPDO and AFRL, has been funded to extend the Ontology Generation and Evolution Processor (OGEP)research and development effort into an operational CrOSS capability.  CrOSS will expedite the automatic processing of both formal planning, programming, and acquisition information sources (for example, enterprise architecture (EA), requirements, research and development (R&D) roadmaps, etc…) and informal artifacts (textual documents, reports, statistics, …) to help identify and synchronize interagency activities. This effort will help drive interagency synchronization to more efficiently deliver NextGen capabilities as the DoD seeks “order of magnitude” NextGen cost reductions for the Department of Defense (DoD), Federal Aviation Administration (FAA), and partners.

Securboration’s Requirements Analysis Technology Deployed at United States Transportation Command

Securboration, Inc. delivered the latest version of their Requirements Analysis Portlet (RAP) to the United States Transportation Command (USTRANSCOM) Common Production Environment (CPE). RAP addresses the organization’s need to map a requirement to joint capability areas, capability gaps, and organizational activities based on unstructured text in a needs statement.  RAP uses Securboration’s Semantic Grounding Mechanism (SGM) to provide a common understanding of a system’s capabilities and data requirements that is based on semantics instead of rigid syntax.  It provides accurate mapping suggestions in a timely fashion, freeing the operator from time consuming manual mapping processes.

Securboration develops Collaborative Event Processing Environment (CEPE) for USTRANSCOM

Securboration has been awarded a contract to develop the Collaborative Event Processing Environment (CEPE) for USTRANSCOM. CEPE will wrap current Fusion Center Knowledge Management (KM) capabilities in a graphical user interface (GUI) allowing direct Subject Matter Expert (SME) editing of ontologies and topics, predictive assessment of the meta-tagging and routing impact of these edits, and configuration management of Fusion Center knowledge representation resources.  CEPE will be a browser-based tool compatible with the Fusion Center’s existing network and content management footprint, and will capture user feedback and expertise, learning preferences and domain knowledge over time.  Rather than attempt to turn SMEs into ontologists, CEPE will bring many repeatable, automatable knowledge representation processes under the SMEs’ control, using wizarding and learning over time to usefully match feedback patterns to new knowledge and improved meta-tagger and message routing behavior.

Securboration Awarded Contract to Automatically Mark Intelligence Data With Appropriate Classification

Securboration has been awarded a contract from the U.S. Air Force to automate classification and releaseability marking of intelligence data by using metadata tagging to speed sharing of information between multiple, independent security domains. The goal of this effort is to provide almost real-time exchange, dissemination, search, access, display and association of disparate information across multiple communities of interest. Inconsistent population of sensor data fields are currently hampering the sharing of data and slows analysis by requiring the analyst to manually search multiple sources for significant data. Securboration will apply semantic modeling to provide a solution that not only explains the rationale for marking to the user but also can be easily tailored by the analyst as needed.

Securboration to Research Link Analysis of Knowledge from Social Media for Air Force

Securboration has been awarded an Air Force contract to research link analysis of knowledge extracted from social media communications. The social media involved will include blogs, Twitter-like messages, social networking posts, and bulletin board threads. Securboration’s experience with semantic technologies will be leveraged to assist the military’s need to visualize knowledge extracted from social media communications with the same fidelity provided by using traditional sources.

Securboration Awarded Air Force Contract to Improve Understanding of Blue Force Readiness Awareness

Securboration has been selected by the Air Force Research Laboratory (AFRL) to define, develop and demonstrate innovative approaches to accurately present and represent globally-distributed blue force readiness and capability in a timely manner. Securboration will develop the Blue-force Awareness Capability and Understanding System (BACUS). This system will collect blue force information from multiple sources, perform semantic reasoning over this gathered information with respect to current mission strategies, generate a representation of the blue force state in standardized interoperable formats, and publish the representation to systems that support Integrated Battle Planning Capability. These capabilities in BACUS will enable it to help improve the blue force situational awareness in the battle planning community.

Securboration Awarded Contract for Automated Multi-Processor Conversion Capability for Legacy Software

Securboration has been awarded a contract by the Office of the Secretary of Defense (OSD) to develop techniques for automatically parallelizing existing sequential code. Processor speeds have plateaued and manufacturers have turned to multi-processor architectures to increase computing power. The cost of purchasing new multi-processor hardware is small in comparison to the cost of rewriting sequential legacy software to take advantage of the multi-processor environment. Securboration is creating the Tri-tier Architectural Modeling Environment (TAME) to provide an automated way to convert legacy sequential software into multi-threaded software that is fully capable of exploiting multiple processors. TAME will involve profiling, parallelizing, optimizing, and verifying of the software without changing the source code. This novel approach aims to allow existing legacy code to be improved in regard to performance while not requiring any of the source code to be rewritten and retested therefore providing significant cost savings and minimize risk.

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Securboration, Inc.