  Tabletop exercises are a crucial component of many company's strategy to test
and evaluate its preparedness for security incidents in a realistic way.
Traditionally led by external firms specializing in cybersecurity, these
exercises can be costly, time-consuming, and may not always align precisely
with the client's specific needs. Large Language Models (LLMs) like ChatGPT
offer a compelling alternative. They enable faster iteration, provide rich and
adaptable simulations, and offer infinite patience in handling feedback and
recommendations. This approach can enhances the efficiency and relevance of
security preparedness exercises.
