Advancements in AI-Driven Cybersecurity and Comprehensive Threat Detection and Response

Abstract

Cyber threats are continuously evolving, requiring advanced technologies to detect and respond to attacks. Artificial intelligence (AI) has emerged as a crucial tool for enhancing cybersecurity and enabling comprehensive threat detection and automated response. This paper reviews the latest advancements in applying AI for cyber defense, focusing on machine learning, natural language processing, computer vision, and automation techniques. An analysis of leading solutions from cybersecurity vendors reveals a paradigm shift towards AI-driven security platforms that contextualize threats, understand typical behavior, and take precise actions. Challenges remain in explainability, potential biases, and adversarial attacks against AI systems. Recommendations include developing robust training datasets, employing ensemble models, strengthening explainability and accountability, and maintaining human expertise oversight. However, the transformative potential of AI for cybersecurity makes it imperative for organizations to integrate it into threat detection and response frameworks. With careful implementation, AI can significantly uplift cyber defenses in the modern threat landscape.