AI-Enhanced Cybersecurity: Defending Against Evolving Threats

Abstract

Cybersecurity threats are becoming increasingly sophisticated, and AI is playing a crucial role in enhancing security frameworks. This paper explores AI techniques such as anomaly detection, adversarial learning, and automated threat response. It discusses challenges like adversarial AI attacks, data privacy concerns, and model interpretability. Case studies highlight AI-driven cybersecurity implementations, showcasing improved threat detection, reduced response time, and enhanced system security.