Effective cybersecurity management requires significant automation to handle the complexity and volume of information involved. Traditional technologies with fixed implementations are often inadequate for combating security threats. Machine learning methods in AI offer a solution to this challenge. This paper presents an overview of various AI applications in cybersecurity and assesses their potential to strengthen defense mechanisms. Our review reveals that valuable AI tools are already in use for network protection and other cybersecurity areas through neural networks. However, some cybersecurity challenges can only be effectively addressed by employing AI strategies. For example, comprehensive data is essential for strategic decision-making, and the need for logical decision support remains a critical unresolved issue in cybersecurity.