Artificial Intelligence: Real Challenge or Boon for Network Operation Center and Network security

Abstract

Artificial intelligence has emerged as a game-changer in every domain, and network operation center and network security are no exception. This paper critically evaluates the dual impact of AI as a daunting challenge and a blissful boon in the context of NOCs, network security, and their overlap. As firms increasingly rely on ever more sophisticated and complex networks to run their business, the need for effective network management and security has become a top priority. Correspondingly, controlling such complex networks, an analyzing their performance and status, and safeguarding them from rapidly evolving threats have grown more difficult than ever. AI-powered solutions have the potential to considerably improve NOC efficiency and effectiveness. Introduce automated automation of routine processes, facilitate network performance optimization, and help in forecasting of most network abnormalities. Consequently, these can drastically cut NOC operational costs and network uninsured losses and enhance network dependability. However, and exposure of AI technologies to an entire new category of challenges, such as the potential of AI-based cyberattacks, algorithmic discrimination, and the ethical insinuations of fully autonomous NOCs, also imply that many possible risks and risks are taking into account.