INTRODUCTION Artificial intelligence has crossed an inflection point. The question facing enterprises and governments is no longer whether AI systems can produce accurate outputs, but whether their internal reasoning processes can be trusted, verified, and governed over time. Recent research and real-world failures have exposed a structural weakness in modern large language models: impressive performance Read.