【摘要】 随着大数据、云计算和人工智能的快速发展，数据流通安全治理面临新的挑战，亟须形成系统化、可持续增长的技术体系。从技术落地的角度出发，讨论了构建数据流通安全体系存在的问题，梳理了国外典型的数据安全技术体系。在此基础上，提出了数据流通安全治理技术体系框架，从数据流通生命周期和数据流通安全风险应对两个视角，构建了数据流通安全技术体系，包含在数据流通安全中发挥重要作用的49项技术。通过专家评审，从发展阶段、重要程度、技术潜力、落地难度等维度，剖析当前数据流通安全治理技术体系的发展情况和存在的问题。构建和完善数据流通安全技术体系，能够推动数据要素产业和数字经济健康持续发展。更多还原

【Abstract】 With the rapid development of big data, cloud computing, and artificial intelligence, data circulation security governance faces new challenges and requires a systematic and sustainable growth technology system. Starting from technology implementation perspective, this paper discusses the problems in building a data circulation security system and reviews typical data security technology frameworks from abroad. Based on this, this paper proposes a data circulation security governance technology framework. This framework organizes 49 key technologies that play important roles in data circulation security, constructed from two perspectives: data circulation lifecycle and responses to data circulation security risks. Based on expert evaluations, the development status and existing problem of the current technological frameworks for data circulation security governance are analyzed, from the dimensions of development stage, importance, technological potential and implementation challenges. Building and improving a secure technology system for data circulation can promote the healthy and sustainable development of the data element industry and the digital economy.更多还原