Generating The All-Hazards Intelligence Synthesis Model In The Homeland Security Intelligence Enterprise

The United States all-hazards homeland security operational and intelligence domains are multijurisdictional, multiagency, and multidisciplinary intelligence challenges for all-hazards intelligence analysts. A common analytical conceptual framework is needed to help unify homeland security intelligence enterprise analysts who work in an all-hazards, all-source, all-crimes, and all-disciplinary intelligence environment. A unifying all-hazards intelligence synthesis model that unites intelligence analysts with the law-enforcement, cybersecurity, technology, and natural science disciplines, would benefit the homeland security and intelligence domain enterprises. The purpose of the applied research was to discover and generate an all-hazards analysis model that enables the production of risk-informed applied intelligence products in a pluralistic intelligence environment that is privacy, civil rights, and civil liberties compliant. A comprehensive literature review was conducted following the four-step collect, analyze, synthesize, and apply process. This process is derived from proven knowledge, information, and risk management programs, as well as proven intelligence analysis methodologies, for gathering information about adversarial, cyber, technological, and natural hazards and threats to social, technological, and environmental resources. The research resulted in the generation of a universal all-hazards intelligence synthesis model that may be applicable to systems safety engineering, criminal, political, military, economic, social, and medical intelligence activities.