Journal of Computer, Internet and Network Security ISSN: 2457-0176 (Online)

Authors: Vivaan Khanna, Nisha Rathore

Abstract: The increasing sophistication of cyber threats necessitates advanced solutions for network security. Artificial Intelligence (AI) has emerged as a pivotal technology, enhancing threat detection through real-time analysis, predictive modeling, and automated response mechanisms. This paper explores the integration of AI in network security, focusing on anomaly detection, behavioral analytics, and the automation of security protocols. Key challenges such as false positives, adversarial AI, and ethical considerations are also discussed. Case studies and statistical analyses demonstrate the effectiveness of AI in mitigating network vulnerabilities.

Keywords: Artificial Intelligence, Network Security, Anomaly Detection, Cyber Threats, Machine Learning, Automated Security