AI-Driven Cyber Threats
Turki Fahed Al Masaeid · Advances in computational intelligence and robotics book series · 2025
The behavioural analysis of AI attacks is of extreme significance in contemporary-day cybersecurity as it pertains to how AI has the potential to enhance or disrupt security measures. AI attacks use leading-edge machine learning, deep learning, and natural language processes to carry out sophisticated attacks. AI defences, on their part, use predictability analysis and anomaly detection to counter attacks. In this chapter, AI in cybersecurity has dual responsibilities in threat reaction, reaction, and adaptation mechanisms. AI-based adversarial AI attacks, AI-based social engineering attacks, and AI-based automated exploitation attacks have been elucidated together with AI-based defences such as behavioural profiling and self-healing mechanisms. Real-life scenarios have been presented in the chapter to elucidate how AI has contributed to or has been employed in cyber wars.