Cyberattacks have become increasingly sophisticated, posing significant risks to critical infrastructures and digital ecosystems. Traditional defense mechanisms often fail to cope with the uncertainty and evolving nature of such threats, highlighting the importance of soft computing approaches for proactive cybersecurity. Recent studies have shown promising results in this direction. For instance, the pNHSS-CAD framework utilized neutrosophic hypersoft sets to model the complexity of cyberattacks, offering effective handling of uncertainty but remaining primarily conceptual. Similarly, Neutrosophic Neural Networks were applied to IoT environments, combining neutrosophic logic with neural networks to achieve high detection accuracy; however, their applicability was restricted to IoT-specific domains.