Research on Artificial Intelligence-Driven Cybersecurity Protection Systems

Abstract

The cybersecurity situational awareness system plays a crucial role in the current complex network environment. This research focuses on designing and implementing an advanced situational awareness system, proposing a real-time threat detection method based on machine learning, and constructing an efficient security situational analysis model by integrating multi-source data fusion technology. A distributed architecture is employed to achieve large-scale data processing and real-time response capabilities. Experimental results show that the system surpasses existing solutions in terms of detection accuracy and response speed. Deployment in actual network environments has verified the system's reliability and effectiveness, providing innovative ideas and practical methods for the field of cybersecurity protection.