Matrix spillover detection plays a vital role in maintaining 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 layers of a model transfers. AI-driven algorithms leverage computational power to