近年来，随着智能算法的不断兴起，将智能情报分析应用于情报决策与服务逐渐成为趋势，与此同时如果在情报工作中智能算法出现安全风险将会严重影响社会稳定乃至国家安全，因此针对其系统化、可持续的治理是防范与化解智能情报分析算法风险的主要手段，具有重要的现实意义。文章通过区块链技术构建“联盟链+私有链”的双链治理模式，并从“开发者-第三方-监管者”三方动态博弈的角度对智能情报分析算法风险治理可持续性进行建模与仿真。研究发现：提升开发者研发质量是智能情报分析算法风险治理的根源、弱化第三方角色逐渐加强其对开发者的威慑作用、监管者建立合理的激励规则能使治理达到最优策略。旨在寻求最佳的算法风险治理策略，进而达到治理成本与收益最大化的目标。

In recent years, with the continuous rise of intelligent algorithms, the application of intelligent intelligence analysis to intelligence decision-making and services has gradually become a trend. At the same time, if there are security risks in intelligent algorithms in intelligence work, it will seriously affect social stability and even national security. Therefore, systematic and sustainable governance is the main means to prevent and resolve the risks of intelligent intelligence analysis algorithms, and has important practical significance. This paper constructs a dual-chain governance model of "alliance chain + private chain" through blockchain technology, and models and simulates the sustainability of risk governance of intelligent intelligence analysis algorithm from the perspective of dynamic game of "developer, third party and supervisor". The study found that improving the quality of developers' research and development is the root of risk governance of intelligent intelligence analysis algorithms, weakening the role of the third party and gradually strengthening its deterrent effect on developers, and regulators establishing reasonable incentive rules can make governance reach the optimal strategy. It aims to seek the best algorithmic risk governance strategy, and then achieve the goal of maximizing governance costs and benefits.