Autonomous AI-based Cybersecurity Framework for Critical Infrastructure: Real-Time Threat Mitigation
Journal:
arXiv
Published Date:
Jul 10, 2025
Abstract
Critical infrastructure systems, including energy grids, healthcare
facilities, transportation networks, and water distribution systems, are
pivotal to societal stability and economic resilience. However, the increasing
interconnectivity of these systems exposes them to various cyber threats,
including ransomware, Denial-of-Service (DoS) attacks, and Advanced Persistent
Threats (APTs). This paper examines cybersecurity vulnerabilities in critical
infrastructure, highlighting the threat landscape, attack vectors, and the role
of Artificial Intelligence (AI) in mitigating these risks. We propose a hybrid
AI-driven cybersecurity framework to enhance real-time vulnerability detection,
threat modelling, and automated remediation. This study also addresses the
complexities of adversarial AI, regulatory compliance, and integration. Our
findings provide actionable insights to strengthen the security and resilience
of critical infrastructure systems against emerging cyber threats.
