Data protection, faster internet, and the detection of anomalous activity all depend on network traffic analysis. Large volumes of data cannot be processed using traditional ways as more gadgets connect to the internet.This study analyzes network traffic effectively using deep learning and big data. Deep learning models such as CNNS (Folding Networks) and RNN (Recursive Neural Networks) can help identify threats to identify traffic classification and abnormal patterns. Big data technologies such as Apache Spark and Hadoop process large amounts of data at lightning speeds. Together, these technologies can improve security, avoid cyberattacks, and accelerate and stabilize your network. This study explains how AI-based solutions can revolutionize network security. Issues, improvements and future developments in this area will also be resolved. The goal is to develop a more intelligent and secure network that protects data and improves internet performance.