The upgrading of the digital economy (DE) is crucial to building an intelligent society. The rapid development of computational intelligence in recent years has also brought vitality to the development of the DE. However, with the deepening of international trade, the issue of trade security has become more and more prominent. Therefore, this study aimed to construct a DE trade security evaluation system. For computational intelligence, this study proposes a support vector machine based on improved particle swarm optimization. Such an algorithm can play a key role in the construction of an evaluation system. It is built for the evaluation system. This study selects five indicators of market competitiveness, trade control, trade dependence, market concentration, and trade legal system evaluation. The experimental results of this study prove that the evaluation system proposed in this study is effective. In its test for some countries in the world, the UK trade security index was the highest at 0.582, while China was relatively low at 0.492.