AI-Based Threat Intelligence for Proactive Mitigation of Cyberattacks in Smart Grids

Abstract

The increasing complexity of smart grids, coupled with their heightened vulnerability to sophisticated cyberattacks, necessitates the development of advanced threat intelligence systems. This paper explores the integration of AI-based threat intelligence to proactively mitigate cyberattacks in smart grids. By leveraging machine learning algorithms, anomaly detection, and predictive analytics, the proposed framework enhances situational awareness and real-time threat detection. The system not only identifies emerging threats but also initiates adaptive defense mechanisms to safeguard critical infrastructure. Through case studies and simulations, the effectiveness of AI-driven threat intelligence is demonstrated in preventing service disruptions and ensuring grid resilience. This research contributes to the growing field of smart grid cybersecurity, highlighting the role of AI in securing future energy systems.