SBIR/STTR Award attributes
Air Force (AF) installation security is critical to mission success as installations function as mainstays for mission execution. Decision makers tasked with effectively securing these fixed-site facilities and mobile assets face a multitude of threats that they must consider and plan for individually to ensure secure operations. Although some advanced tools support decision makers in risk assessment (e.g., ForcePRO), installation security is still a complex and time-consuming task. To address these needs, we propose to design and demonstrate Real-Time Assessment and Decision Interactive Toolkit (READI). READI will combine probabilistic programming and deep learning techniques with ecological situation awareness visualizations to create integrated security decision support tools. We use advanced probabilistic modeling techniques to depict the dynamic risk assessment system and provide recommendations on appropriate courses of action. We also use proven Cognitive Systems Engineering methods to understand the cognitive and context specific needs of security decision makers to design ecological visualizations. Collectively, these tools will facilitate rapid, explainable updates to risk assessment and course of action models for effective decision maker situation awareness and threat response decision making.
