Exploration of AI-Driven Automatic Identification and Protection Strategies for Computer Network Security

Abstract

In the face of the rapid advancement of computer network technology and the increasingly complex cybersecurity threats, traditional protection measures are proving inadequate. The integration of artificial intelligence (AI) technologies has brought revolutionary changes to the field of cybersecurity. This study systematically expounds the core application strategies of AI in automatic identification and protection for computer network security, deeply analyzes its significant advantages in threat detection, anomaly recognition, and intelligent defense, and constructs an AI-based cybersecurity protection framework. At the same time, the paper objectively points out the challenges faced by AI applications in cybersecurity and looks ahead to future development directions, providing theoretical support for building a more intelligent and efficient cybersecurity system.