Critical Gaps in Defending Against AI-Powered Cyber Attacks: A Comprehensive Review of Challenges, Vulnerabilities, and Future Directions

Artificial Intelligence (AI) has significantly advanced the field of cybersecurity. Today, AI enables systems to automatically detect threats, predict potential attacks, and respond in real time. These capabilities have made cybersecurity systems faster and more efficient than ever before. However, the major challenge is that the same technology used by defenders is also being used by attackers. Cybercriminals are now leveraging AI to create attacks that are more intelligent, faster, and much harder to detect. In this review paper, various research studies have been analyzed to identify the critical gaps in defending against AI-powered cyberattacks. These gaps mainly include lack of explainability in AI systems, issues related to data quality and availability, weaknesses in current defense mechanisms, and the rapid evolution of attack techniques. The paper concludes that traditional cybersecurity approaches are no longer sufficient, and there is a strong need to develop more robust, transparent, and adaptive AI-based defense systems.