The role of artificial intelligence (AI) in cybersecurity is becoming increasingly important, particularly in the realm of dark web threats. AI tools have the ability to gather data from the dark web, analyze it, and transform it into actionable intelligence for organizations. By processing and interpreting natural language communication efficiently, AI enhances threat detection and enables a proactive approach to securing organizations. One of the challenges of monitoring the dark web is the language barrier, as cybercriminals often use slang terms specific to the dark web. However, AI can overcome this barrier by training models on dark-web-specific slang terms, allowing for accurate translation and identification of hidden threats. AI can also help prioritize intelligence by quickly identifying and alerting specific threats relevant to an organization. By sifting through vast amounts of data, AI can support security analysts in finding the most serious threats, making threat intelligence faster and more accurate. As AI continues to advance, it will enable smaller cybersecurity teams to engage in more sophisticated threat intelligence activities, bringing proactive dark web monitoring into the mainstream [7f225f21].