Laboratory Management and Computer Network Security Maintenance Strategies in the Era of Artificial Intelligence

In the era of artificial intelligence, the integration of AI technology into network security has transformed how threats are detected and mitigated. This paper explores the application of AI in maintaining network security, with a specific focus on laboratory management systems. AI enhances real-time monitoring, automates intrusion detection, and facilitates dynamic defense strategies in both general networks and laboratory environments. Laboratory management systems, which handle sensitive data and complex equipment networks, particularly benefit from AI-driven security mechanisms. This study outlines how AI can improve the efficiency of security systems while minimizing human intervention. It also discusses the challenges related to resource consumption, false positives, and privacy concerns in both network security and laboratory management. Future directions for AI development in network security are proposed, with an emphasis on optimizing algorithms and balancing security needs with resource management.