Enhancing Threat Detection And Introducing New Vulnerabilities

Abstract

Artificial Intelligence (AI) is increasingly transforming cybersecurity by enhancing threat detection, predictive analytics, and incident response automation. AI-powered systems process vast amounts of data, detect anomalies, and mitigate security risks in real-time, significantly improving defense mechanisms. However, the integration of AI also introduces new vulnerabilities, including adversarial attacks and potential misuse by cybercriminals. This paper examines the dual nature of AI in cybersecurity, highlighting both its advantages and inherent risks. We propose a structured approach to implementing AI-driven security measures while addressing associated vulnerabilities through robust mitigation strategies and ethical considerations.