With the rapid development of information technology, network security protection has become one of the major challenges facing today's society. In order to deal with the increasingly complex network security threats, the integration and optimization of network security protection strategy and vulnerability detection technology becomes particularly important. This paper discusses the synergistic and complementary role of network security protection strategy and vulnerability detection technology, and analyzes the optimization path of network security protection strategy, including the combination of firewall and intrusion detection system, integration of security information and event management system, introduction of automation and intelligence technology, and construction of continuous monitoring and feedback mechanism. For the vulnerability detection technology, the optimization methods of strengthening logic analysis technology, improving the accuracy of vulnerability detection, introducing deep learning model and optimizing fast scanning algorithm are proposed. Through the optimization of these strategies, the effectiveness of network security protection and the accuracy of vulnerability detection can be improved, so as to build a more secure and reliable network environment.

Jiangnan Huang. Application of AI-driven Personalized Recommendation Technology in E-commerce. International Journal of Neural Network (2025), Vol. 4, Issue 1: 40-47. https://doi.org/10.38007/NN.2025.040105.

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