In cybersecurity, the risk assessment process plays a key role in technology management, serving as the basis for the formulation of effective security strategies and ensuring compliance with key standards and regulations. However, this process requires substantial effort, resource allocation, and specialized expertise, posing a considerable challenge to organizations tasked with its implementation. While automation is an appealing goal, the expert-driven nature of risk assessment has long made it difficult to fully automate. In recent years, however, the rise of Artificial Intelligence (AI) has accelerated the advancement of Large Language Models (LLMs) which enabled the development of Agents capable of building autonomous solutions that may enhance the ability to detect threats and conduct comprehensive risk assessments.