The steady increase of new software vulnerabilities puts growing pressure on current cybersecurity systems. To improve detection and mitigation capabilities, security experts seek to discover novel attack patterns and understand how new vulnerabilities can be exploited. One way to do that, is to manually create in-vitro scenarios (e.g., virtual environments) to safely observe and log attack data, without exposing real systems to risks. However, making scenarios that accurately reproduce realistic conditions is a complex, time-consuming task that requires a wide range of skills in virtualization technologies, cybersecurity, and service configuration. Recent developments in the Artificial Intelligence (AI) field and the continuous growth of Large Language Models (LLMs) have highlighted their potential to automate complex tasks.