Cyber threats rapidly develop, and stable defense lines are needed to prevent and respond to them effectively. Refining this report's management case, this paper discusses AI in cyber defense, emphasizing self-learning threat recognition and elimination. Artificial intelligence technologies such as machine learning and neural networks enhance cybersecurity systems' ability to work out threats and make corresponding responses within the shortest time. Reviews on how it works out with live examples, such as reporting on how it functions with detailed minute-by-minute plans and performances and graphics of the result that has been produced, prove its effectiveness. Besides that, the report addresses the issue of AI applications in cybersecurity and demonstrates how the challenges can be avoided. Therefore, from the analysis, it is clear that the integration of AI has a different form of positive breakthrough in the strength and stability of cyber defense, extending safe computer networks. The detailed strategy focuses more on the capacity of advanced AI systems to improve traditional anti-cyber-terrorism solutions and maintain a positive security approach.