In a world where the threat of malicious intelligence and cyber-attacks is growing rapidly, it is crucial to prioritize advanced cybersecurity strategies. In addition, the effectiveness of safeguarding against major threats with limited resources has been proven through practical experience in preventing DDoS attacks when employing intelligent strategies. Publications reviews suggest that research on artificial neural networks provides the most relevant findings in the field of cybersecurity. Neural network implementations are still being explored in the field of cybersecurity. In numerous domains where neural networks were not the optimal choice, there remains a pressing demand for advanced cybersecurity methodologies. These fields encompass decision support, situational understanding, and information control. What stands out in this scenario is the development of expert machine. Rapid advancements in general artificial intelligence have reached a point where the extent of its potential remains uncertain. However, there is a concern that individuals may exploit a newly accessible form of artificial intelligence. This may not be immediately apparent. Furthermore, advancements in technology, specifically in the realm of computer learning, have the potential to greatly enhance cybersecurity measures by enhancing our understanding, interpretation, and management of information.