Due to the extreme growth in digital information and data, cybersecurity has become one of the major concerns addressed by recent research, organizations, and governments. However, Traditional security methods are finding it more and more difficult to keep up with the volume and complexity of cybersecurity threats. To mitigate this problem, artificial intelligence (AI) can be a promising candidate that helps with cybersecurity defenses in the face of sophisticated and rising cyber threats. As a result, Artificial intelligence based systems can take advantage of machine learning, natural language processing, and other methods to enhance threat identification, response, and mitigation. This paper provides a blueprint for the state of the art of AI's potential to enhance cyber defense strategies in the field of cybersecurity. In addition, it highlights a variety of AI-based cybersecurity strategies that include anomaly detection, behavior analysis, and predictive modeling. Additionally, it explores the drawbacks and limitations of AI in cybersecurity, including data privacy issues and adversarial attacks, and offers suggestions for how to resolve these problems. As a whole, it highlights the significance of using AI to strengthen cybersecurity defenses and offers recommendations for further research and development in this field.