AI DRIVEN SECURITY: USING AI TO EXPLORE SECURITY AND PRIVACY RISKS

With the rapid advancement of artificial intelligence (AI), cybersecurity and data privacy have become pressing concerns in modern IT systems. Traditional defense mechanisms struggle to keep pace in addressing the scale, complexity, and speed of increasingly sophisticated and emerging threats. This paper addresses the challenges that existing security and privacy frameworks face by keeping pace with these evolving threats. This drives the need to understand how AI can contribute to identifying, analyzing, and mitigating security and privacy risks. The literature highlights the transformative potential of AI in this domain. From adversarial testing and privacy policy automation, training simulations to generation of synthetic data for privacy-preserving analysis, AI has emerged as an essential tool in advancing security resilience in complex digital environments. As a result, this research investigates the role of AI in addressing security and privacy risks in Information technology (IT) and Industrial Control Systems (ICS).