// #threat-detection

The Hallucination Problem in Your AI Security Tools Is Not Getting Fixed

A new paper by Vishal Sikka and Varin Sikka uses settled computational complexity theory to prove that transformer hallucinations and fixed reasoning depth are architectural facts, not engineering failures. For security practitioners building operational dependencies on LLM-based tools, the implication is uncomfortable: the limitations most vendors are implicitly promising to train away cannot be trained away. They are proven.