Traditional cybersecurity relies on predefined rules, signatures, and manual monitoring to detect and stop threats, but it often struggles against evolving and sophisticated attacks. In contrast, AI-powered cybersecurity uses machine learning and automation to analyze vast amounts of data, identify anomalies, and predict threats in real time. While traditional methods provide a strong foundation, AI-driven approaches offer faster detection, adaptive defense, and proactive threat hunting, making them more effective against today’s dynamic cyber risks.