五间并用:基于AI大模型的认知域安全风险预警体系构建OACHSSCD

[Purpose]With the iterative development of digital-intelligent technology,national cognitive domain security faces severe and complex challenges.In-depth analysis of the evolutionary pathways and typical characteristics of current cognitive domain security risks can further enhance the country's cognitive security capabilities and resilience governance level.[Method]By introducing China's ancient intelligence concept of"five-way collaboration",leveraging the performance advantages and computing power support of large AI mod-els,and retaining the structural foundation of the OODA cycle theory,a cognitive domain security risk early warning model centered a-round"intelligence awareness traction—situational awareness positioning—resilience decision-making drive—system recovery growth"is constructed.[Result/Conclusion]The study finds that the deep integration and modern translation of the"five-way"concept with AI large models can effectively overcome issues such as information key points oversight,insufficient risk identification,and factual hallucina-tions in traditional early warning systems.It achieves precise identification,dynamic assessment,scientific prevention,and comprehensive response to cognitive domain security risks,completing the transformation from"intelligence advantage"to"cognitive advantage",and providing theoretical and practical support for the modernization of the national security system and capabilities.