Cybersecurity is a data problem, and one of the most effective ways of contextualizing data is via natural language. With the advancement of Large Language Models (LLMs) and accelerated compute capabilities, we can represent security data in ways that expand our detection and data generation techniques. Here we discuss advancements in LLMs, including how to leverage throughout the cybersecurity stack from copilots to synthetic data generation.