Rapid Identification of Asymmetric Threat Networks from Large Amounts of Unstructured Data Navy SBIR FY2008.1 Sol No.: Navy SBIR FY2008.1 Topic No.: N08-084 Topic Title: Rapid Identification of Asymmetric Threat Networks from Large Amounts of Unstructured Data Proposal No.: N081-084-0206 Firm: Securboration Inc 1050 W NASA Blvd Suite 154 Melbourne, Florida 32901 Contact: Lee Krause Phone: (321) 591-9836 Web Site: www.securboration.com Abstract: The asymmetric adversary the U.S. faces today and in the foreseeable future is radically different from previous adversaries and must be thought of in an entirely new light. As events in Afghanistan and Iraq illustrate, warfare is being transformed from a closed, state-sponsored affair to one in which adversaries operating in small, agile, and distributed cells can declare war on nations. Gathering, translating, and analyzing intelligence on these adversaries has proven difficult due to their use of unstructured open source information, which has exponentially increased the burden on intelligence analysts. Securboration, teaming with Dr. Yaneer Bar-Yam from the New England Complex Systems Institute (NECSI), proposes an innovative solution, referred to as Open Source Monitoring System, or OSMOSYS. OSMOSYS leverages Securboration's powerful semantic modeling techniques to effectively normalize OSINT input streams and uses a technique patented by Dr. Yaneer Bar-Yam that subdivides neural networks in a manner similar to physiological systems. The result is a system that generates warnings and actionable intelligence from OSINT that allows friendly forces to operate inside the observe-orient-decide-act, or OODA, loop of asymmetric and irregular foes thus depriving them of the initiative and forcing them into reactive modes. Benefits: Initial commercialization focus for OSMOSYS technology will concentrate on the public sector space with military, homeland security and law enforcement applications. However, an interesting array of private sector opportunities does exist. Business intelligence applications present both interesting and broad possibilities. These applications could consider understanding of the competitive landscape, the actions of competitors or the pitfalls and challenges of regulatory hurdles faced by businesses in their entry to or expansion of existing business lines. The regulatory landscape is becoming increasingly complex, especially in western societies, where misunderstanding regulatory hurdles can result in product delays or worse years of litigation to resolve issues. Return