In the rapidly evolving landscape of global security, the United States faces increasingly sophisticated threats to its critical infrastructures and national security. These threats emanate from state and non-state actors employing advanced technologies to disrupt, degrade, and destroy essential systems. In response, Artificial Intelligence (AI) has emerged as a powerful tool for enhancing the resilience and defense mechanisms for critical infrastructures operation. This research paper explores the potential and application of AI in safeguarding the nation’s critical assets, including energy grids, transportation networks, gas & oil pipelines, communication systems, financial institutions, water supply systems, healthcare databases, IT networks, and air traffic control systems. By leveraging machine learning algorithms, predictive analytics, and anomaly detection techniques, AI can identify and mitigate vulnerabilities in real-time, preemptively countering cyber-attacks, physical sabotage, and air traffic control disruptions. Additionally, AI-driven systems bolster cybersecurity, ensuring the resilience and security of vital US systems against emerging cyber threats. Furthermore, AI enhances decision-making capabilities, providing security agencies with actionable intelligence and situational awareness, while also contributing to overall security enhancements. This paper examines the ethical considerations, challenges, and future directions of integrating AI into national security frameworks. Through a comprehensive analysis, this study underscores the vital role of AI in fortifying the United States’ critical infrastructures against the growing array of adversarial threats.
Keywords: Artificial Intelligence, Resilience, United States, leveraging, security critical infrastructures
