AI RESEARCH
Chain-of-Authorization: Internalizing Authorization into Large Language Models via Reasoning Trajectories
arXiv CS.AI
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ArXi:2603.22869v1 Announce Type: new Large Language Models (LLMs) have become core cognitive components in modern artificial intelligence (AI) systems, combining internal knowledge with external context to perform complex tasks. However, LLMs typically treat all accessible data indiscriminately, lacking inherent awareness of knowledge ownership and access boundaries. This deficiency heightens risks of sensitive data leakage and adversarial manipulation, potentially enabling unauthorized system access and severe security crises.