This paper explores the utilization of artificial intelligence (AI) in preventing cyber attacks across various domains of cybersecurity. It discusses different applications of AI in cybersecurity, including intrusion detection and prevention, threat hunting, vulnerability assessment, and fraud detection. Various AI techniques, such as anomaly detection, machine learning, natural language processing, and predictive analysis, are highlighted within each application area. The paper examines specific AI-driven cyber-attack methods such as phishing attacks, voice impersonation, and the use of chatbots. The study concludes with a comparative analysis of intrusion detection methods, highlighting the effectiveness of AI-driven approaches in identifying intruders and instances of attacks, especially those with unique characteristics. The paper underscores the importance of using AI in cybersecurity defense strategies to combat evolving cyber threats effectively.