Artificial Intelligence for Cybersecurity in Computer Systems and Networks

Abstract

The complexity of cyber threats and network assaults is increasing on a daily

basis. The worldwide incidence of everyday assaults is increasing, and the methods and

strategies used to breach corporate networks and personal devices are varied. The

assaults might be attributed to individuals acting alone, organized collectives, or even

whole governmental entities. The resources available for conducting assaults are

expanding, and as a result, cyber attacks now have the potential to have significant and

far-reaching impacts and repercussions. These elements converge to provide challenges

for security teams in keeping up with the rapid pace, necessitating the need for more

intelligent solutions.

This thesis provides a comprehensive examination of the use of artificial

intelligence (AI) techniques, including sub-domains like machine learning and deep

learning, to address cybersecurity challenges. This thesis also seeks to demonstrate the

use of current AI technologies and their enhancement of cyber security. AI may enhance

security systems by enabling them to be more anticipatory and proactive in identifying

and addressing threats. Additionally, AI can streamline security operations by

automating repetitive processes, therefore saving time. This thesis included conducting

interviews with personnel of If insurance firm that specialize in network monitoring and

network security. The interviews aimed to ascertain the specific challenges they

experienced in their assignments. In this study, potential artificial intelligence (AI)

solutions for the identified difficulties are provided.