AI and Cybersecurity: Strengthening National Infrastructure with AI-Driven Threat Detection
Venkata M Kancherla · International Journal of Emerging Trends in Computer Science and Information Technology · 2021
The increasing complexity and interdependence of national infrastructure systems, including energy, transportation, and telecommunications, have made them increasingly vulnerable to cyber threats. Traditional cybersecurity approaches often fall short in addressing the rapidly evolving threat landscape, making it essential to explore more advanced methods for securing critical infrastructure. Artificial intelligence (AI) has emerged as a promising solution, offering enhanced capabilities in threat detection, prediction, and response. By utilizing machine learning, deep learning, and behavioral analytics, AI-driven systems can significantly improve the accuracy, efficiency, and scalability of cybersecurity operations. However, the implementation of AI in cybersecurity raises ethical considerations, including concerns about privacy, bias, and the over-reliance on automated systems. This paper explores the role of AI in strengthening national infrastructure against cyber threats, examines case studies of AI-driven cybersecurity applications in various sectors, and discusses the potential for AI to revolutionize the cybersecurity landscape. Furthermore, the paper highlights the challenges and ethical concerns associated with AI integration and emphasize the need for a balanced approach that combines AI with human oversight