AI and Machine Learning in Cybersecurity: Strategies, Threats, and Exploits

Abstract

The rapid evolution of artificial intelligence (AI) and machine learning (ML) technologies has transformed the cybersecurity landscape, enabling organizations to enhance their defensive strategies while also presenting new vulnerabilities that can be exploited by malicious actors. This paper investigates the dual implications of AI and ML in cybersecurity, focusing on their application in both offensive and defensive strategies. We will examine how these technologies can be employed to identify and mitigate threats, as well as how they can be weaponized for cyberattacks. The study underscores the importance of understanding these dynamics to develop robust cybersecurity frameworks.