Using AI for Intrusion Detection and Threat Intelligence: Enhancing Enterprise Security in the Digital Age
PAM Program Lead Texas, USA, Anil Kumar Malipeddi, Sreekanth Pasunuru, Cyber Security Engineer Sr. Consultant · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2024
The rise of cyber threats has underscored the need for advanced tools that can predict, detect, and respond to security incidents with minimal human intervention. Artificial Intelligence (AI) is now at the forefront of such tools, transforming intrusion detection and threat intelligence systems with its ability to analyze vast amounts of data, learn from patterns, and adapt to emerging threats. This article explores how AI is reshaping intrusion detection systems (IDS) and threat intelligence platforms, examining the methods, advantages, and challenges associated with AI-driven security systems. Through AI, enterprises can strengthen their cyber defenses by enabling proactive, real-time responses to increasingly sophisticated cyber threats. Keywords: Intrusion Detection, Threat Intelligence, Artificial Intelligence, Machine Learning, Cybersecurity, Automated Response