Enhancing Threat Intelligence for Critical Infrastructure Protection Through Artificial Intelligence: A Proactive Cyber Defence Approach

Abstract

This research explores the application of Artificial Intelligence (AI) in enhancing threat intelligence for critical infrastructure protection (CIP). As cyber threats targeting vital systems such as energy grids, transportation networks, and financial systems grow in complexity, traditional reactive defence mechanisms prove inadequate. This study presents a proactive cyber defence framework powered by AI to anticipate, identify, and mitigate threats before they materialize. Using a mixed-methods approach that combines empirical analysis with case studies, the research identifies key AI-driven tools such as machine learning algorithms, natural language processing, and behavioural analytics that can be deployed for real-time threat detection and risk assessment. The study concludes with policy recommendations for integrating AI into national cybersecurity strategies for critical infrastructure resilience.