Leveraging Generative Artificial Intelligence for Tabletop Exercise Development

Tabletop Exercises (TTXs) help teams identify gaps in preparedness, improve coordination, and rehearse incident response plans in a low-risk environment. U.S. State, Local, Tribal, and Territorial (SLTT) governments play a critical role in preparedness and response operations for their communities but often operate under significant resource constraints that limit the amount of time, personnel, and money that can be devoted to creating effective TTXs. Generative Artificial Intelligence (GenAI) introduces a new tool to this process, allowing for faster, more scalable, and highly customizable scenario creation, but it does require the user to use detailed data and prompts to generate useful scenarios. This can lower the barrier of entry for U.S. SLTTs and broaden the accessibility of TTXs to many under-resourced communities.

This paper examines how U.S. SLTTs can use GenAI platforms to design TTXs for a variety of cyber and physical scenarios as well as provides examples of how to leverage open-source GenAI platforms.