Article’s

The dark web is a hidden, encrypted portion of the internet that acts as a central location for a variety of illegal activities and presents serious risks to both individuals and companies. With the ability to provide proactive insights into prospective cyber threats prior to their manifestation, dark web monitoring has become an essential part of Cyber Threat Intelligence (CTI). Within the context of the CTI framework, this article investigates the technology, approaches, and difficulties related to monitoring the dark web. It talks about automated methods and tools, like machine learning and natural language processing (NLP), that are used to collect and evaluate data from dark web sources. It also discusses the moral and legal issues surrounding the surveillance of dark web activity. This study demonstrates how dark web monitoring can improve cybersecurity through case studies and practical implementations.