A foundational model is a large-scale artificial intelligence (AI) model trained on vast and diverse datasets. These models are designed to learn general patterns and representations, making them adaptable for a wide range of downstream tasks. In cybersecurity, foundational models can be fine-tuned or customized to detect threats, analyze malware, or automate security operations. Their broad training allows them to provide a strong base for building specialized AI applications, improving efficiency and accuracy. Examples include large language models like GPT or multimodal models that process both text and images. By leveraging foundational models, organizations can accelerate the development of advanced cybersecurity solutions.