Applications of Artificial Intelligence to Network Security
This is an incremental review paper that discusses the potential of AI to improve network security for organizations facing sophisticated cyber threats.
The paper addresses the increasing complexity of network attacks and the limitations of traditional security methods, proposing that artificial intelligence can enhance threat detection and providing an overview of current AI techniques and future prospects in network security.
Attacks to networks are becoming more complex and sophisticated every day. Beyond the so-called script-kiddies and hacking newbies, there is a myriad of professional attackers seeking to make serious profits infiltrating in corporate networks. Either hostile governments, big corporations or mafias are constantly increasing their resources and skills in cybercrime in order to spy, steal or cause damage more effectively. traditional approaches to Network Security seem to start hitting their limits and it is being recognized the need for a smarter approach to threat detections. This paper provides an introduction on the need for evolution of Cyber Security techniques and how Artificial Intelligence could be of application to help solving some of the problems. It provides also, a high-level overview of some state of the art AI Network Security techniques, to finish analysing what is the foreseeable future of the application of AI to Network Security.