Artificial Intelligence (AI) has emerged as a transformative force in the field of cybersecurity, playing a pivotal role in safeguarding national infrastructure. This review focuses on the application of AI technologies within the context of the United States, examining their efficacy in fortifying critical systems against evolving cyber threats. The paper delves into various AI-driven cybersecurity strategies, ranging from anomaly detection and predictive analysis to threat intelligence and automated response mechanisms. The integration of AI in cybersecurity not only enhances the speed and accuracy of threat detection but also addresses the dynamic nature of cyber threats. The specific AI technologies employed in the United States, including machine learning, natural language processing, and neural networks, highlighting their contributions to bolstering the resilience of national infrastructure are also examined. Furthermore, the challenges and ethical considerations associated with the widespread adoption of AI in cybersecurity are assessed. It discusses the need for robust regulatory frameworks to govern the deployment of AI in sensitive domains and emphasizes the importance of collaboration between government agencies, private enterprises, and research institutions to foster innovation and address emerging threats. In conclusion, this review provides a comprehensive analysis of the role of AI in cybersecurity within the United States, emphasizing its significance in protecting critical national infrastructure. By exploring technological advancements, challenges, and ethical considerations, this paper contributes to the ongoing discourse on leveraging AI to safeguard against the ever-evolving landscape of cyber threats.