- This abstract challenge by leveraging Natural Language Processing (NLP) to automate cyber threat identification. The proposed system utilizes advanced NLP techniques to analyse vast amounts of textual data from sources such as cybersecurity reports, social media, forums, and dark web communications. The proliferation of cyberthreats in today's digital world poses serious security and privacy issues. Because malevolent behaviour is dynamic, traditional threat detection techniques usually fall behind. By increasing threat detection's precision, effectiveness, and scalability, the solution seeks to strengthen digital infrastructures' resistance to cyberattacks. Because the digital world moves quickly, cyberattacks are becoming more sophisticated and larger than ever before. By developing a mechanised system for cyber threat identification using Natural Language Processing (NLP), this research will address this basic problem. By improving threat detection's precision, effectiveness, and scalability, the solution aims to strengthen digital infrastructures' defences against cyberattacks.