Researchers introduced context segmentation, a framework that divides complex CTF tasks into manageable sub-problems, improving token efficiency and task completion rates for locally deployed SLMs. This development is relevant to AI agent builders and operators as it addresses a significant challenge in using SLMs for cybersecurity tasks.