Enhancing Network Security Through AI-Driven DNS Filtering and Threat Intelligence Correlation

In today’s world, where cyber threats are becoming more advanced and frequent, protecting the Domain Name System (DNS) traffic is more important than ever. This paper introduces a smart, AI-powered DNS filtering system that works by using live threat intelligence data from different sources to catch and block harmful domains in real-time. We’ve used machine learning models that were trained on a wide variety of known domain data, and connected them with real-time APIs that provide updates on potential threats. This system improves the typical DNS filtering process by learning and adapting to new threats continuously, making it better at spotting new and hidden dangers on the internet.