Matrix spillover detection plays a vital role in safeguarding the integrity of large language models (LLMs). Novel developments in artificial intelligence have opened new avenues for efficiently identifying matrix spillover, a phenomenon where content across different matrices of a model transmits. AI-driven methods leverage sophisticated technique