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.