INVESTIGATION OF THE USE OF ARTIFICIAL INTELLIGENCE FOR NETWORK SECURITY AND INTRUSION DETECTION

Legacy network security and intrusion detection technologies are having a hard time keeping up with the growing number and level of sophistication of cyberthreats. It has recently come to light that using intrusion detection systems that are driven by artificial intelligence may be a workable solution for overcoming these challenges. This study examines the current state of artificial intelligence as it relates to the detection of network breaches and the protection of networks. It discusses the present approaches and strategies, the challenges, and constraints, as well as the new advancements that have occurred in this field. In addition to a discussion of the advantages of intrusion detection systems that are powered by AI, the article includes a table that compares the various methods that are currently in use. In the final section of the paper, the authors offer some recommendations for future research in this field. Some of these recommendations include enhancing the precision and effectiveness of intrusion detection systems so that they can keep up with the ever-evolving nature of cyber threats; integrating artificial intelligence into the already-established security infrastructure; and examining the possibility that emerging technologies such as blockchain and quantum computing could improve network