[目的/意义]大数据时代的到来，再次引发安全科学与情报学的创新思潮，并激起了学界对安全情报学的未来展望，因此将安全与情报的交叉研究轨迹置于具体的大数据语境中，进而实现知识产品的更新与输出，具有重要意义。[方法/过程]以安全科学、情报学、数据科学为视角，通过文献评介、历史爬梳以及困境反思，分析大数据介入安全情报学后所造就的研究脉络、现实困局和可能的发展空间。[结果/结论]安全情报学与大数据的共同演化，描绘出了一个相互促进的知识繁荣景象：在两者关系方面，大数据是安全情报学的革新动力，而后者则构成了前者的价值实现平台；在理论层面，碎片化的安全情报研究在大数据的推动下，转变成系统化的学科知识；在实践层面，国家对安全情报的巨大需求，要求人工智能技术适时加入，以提高数据转化效率和质量。

[Purpose/significance] The arrival of the era of big data has once again triggered the innovative trend of safety & security-related intelligence science, and has aroused the future vision of security intelligence science in the academic community. Therefore, the intersection of security and intelligence is placed in the context of big data. It is of great significance to realize the update and output of knowledge products.[Method/process] From the perspectives of security science, intelligence science and data science, through literature review, historical comment and dilemma reflection, it analyzes the research context, realistic dilemma and possible development space created by big data intervention.[Result/conclusion] The co-evolution of security intelligence and big data has portrayed a mutually promising vision of knowledge prosperity: in terms of the relationship, big data is the innovation power of safety & security-related intelligence science, while the latter constitutes the platform of value realization of the former; At the theoretical level, fragmented security intelligence research is transformed into systematic subject knowledge driven by big data. At the practical level, the country's huge demand for security intelligence requires artificial intelligence technology to join in time to improve data conversion efficiency and quality.