Cyberattacks are a constantly evolving danger, requiring cybersecurity to become even more critical. The ever-changing dynamics of attacking threats have finally started to change the terrain of the cyberspace, thus, requiring strong cyber security. The domain of NLP and especially its use in cyber defense has potential to make a significant contribution in addressing these concerns. This research attempts to find any scholarly works that focus on the use of NLP in cyber threat intelligence so that corresponding strategies can be devised to counter novel threats with sophisticated systems that can address the constantly changing dynamics of complex challenges. The paper also tackles the problems of classifying and structuring of many unorganized data sets numbering in terabytes, concentrating the focus on the use of NLP for threat detection, incident response and overall risk assessment, evaluation and compliance control. NLP based cyber systems defence on secondary multi-tiered application architecture NLP frameworks provides stronger positions in countering cyber warfare. This research aims to demonstrate that through NLP, an organization and its critical systems can be digitally fortified, thereby, proving once again the growing necessity of cyber linguistic defense from NLP based frameworks.