The rise of advanced cyber threats, including zero-day attacks, ransomware chains, and AI-generated phishing, has revealed the limitations of traditional security systems. These systems rely heavily on predefined rules and signatures, making them ineffective against fast-evolving attack vectors. Artificial Intelligence (AI) introduces adaptive and predictive threat detection by learning behavioral patterns and identifying anomalies in real time. This research paper adopts a problem–solution approach to examine how AI addresses specific cybersecurity weaknesses. It presents limitations of existing systems, analyzes AI-based solutions, proposes an original threat-detection framework, and includes case studies of AI adoption in modern cybersecurity infrastructures. Challenges, evaluation parameters, and future improvements are also discussed.
Vikhe Gautami Jankiram (Tue,) studied this question.