The project A254-006 focuses on developing a specialized Large Language Model (LLM) aimed at enhancing cybersecurity for aviation and missile systems, addressing vulnerabilities arising from both traditional and AI-based threats. The LLM will assist assessment teams in identifying and modeling vulnerabilities, producing valuable inputs for both blue and red teams within the Department of Defense (DoD). The project's significance lies in its potential to bolster the cyber resilience of weapon systems early in their development, thereby enhancing their operational effectiveness. The proposed method incorporates advanced natural language processing and code analysis to surpass current analysis technologies. The project comprises two phases: Phase I involves a feasibility study with specific interim milestones aimed at identifying data requirements and weapon system prototypes, capped at $250,000 over six months. Phase II entails training a prototype LLM within a controlled environment, focusing on exploit generation for aviation or missile systems over 24 months, incorporating reviews at various stages to ensure progress. Furthermore, the developed LLM may have dual-use applications across sectors like finance, e-commerce, manufacturing, healthcare, and energy, highlighting its broader potential beyond defense. The initiative emphasizes the importance of cybersecurity in increasingly digital environments, aiming to mitigate risks from sophisticated cyber threats.