Expert Driven Cybersecurity Instruction

Expert-driven cybersecurity instruction focuses on leveraging human expertise to improve the performance and reliability of AI models in cybersecurity tasks. Current research emphasizes developing large language models (LLMs) trained on meticulously curated datasets of expert-generated instructions and examples, often incorporating retrieval-augmented generation (RAG) and techniques like mutual information for feature selection. This work aims to enhance AI's capabilities in threat hunting, vulnerability assessment, and incident response, ultimately improving the effectiveness and efficiency of cybersecurity practices.