AI is revolutionizing cybersecurity by shifting from traditional discrete control monitoring to continuous, adaptive control monitoring. Traditional methods relied on signature-based detection, periodic scanning, and event-driven responses, which struggle with sophisticated modern threats. AI enhances cybersecurity through real-time data analysis, anomaly detection, predictive analytics, and automated responses. This transition to continuous monitoring improves threat detection, reduces response times, and enables a proactive security posture. However, challenges include data privacy, implementation complexity, and potential adversarial attacks. Real-world applications in finance, healthcare, and manufacturing showcase AI's effectiveness. Future advancements in explainable AI, federated learning, and human-AI collaboration will further strengthen cybersecurity.