AI-Enabled Cybersecurity System for Smart Threat Detection and User Authentication

Author(s)	Prof. Gayathri N, Prof. Nayana Rao S, Prof. Bhavani K G, Prof. Pankaja K N
Country	India
Abstract	Cybersecurity threats are increasing rapidly because of the growth of digital platforms, cloud systems, smart devices, and online communication. Traditional security systems are unable to detect advanced attacks effectively because they depend mainly on fixed rules and signature-based approaches. This research presents an AI-based cybersecurity structure that incorporates Machine Learning, deep learning, phishing detection, adaptive authentication, and intelligent network monitoring techniques. The suggested framework improves attack detection accuracy, reduces fraud activities, supports Real time monitoring, and strengthens user authentication. The study also compares traditional cybersecurity systems with AI-driven systems and explains the benefits of intelligent automation in modern security environments.
Keywords	Artificial Intelligence(AI), Cybersecurity, Machine learning(ML), Deep Learning, Phishing Detection, Adaptive Authentication, Network Security
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 17, Issue 2, April-June 2026
Published On	2026-05-26

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