The Intersection of AI and Cybersecurity: A Review of Threat Detection and Defense Mechanisms

Abstract

With the rise of sophisticated cyber threats, artificial intelligence has become an essential tool in cybersecurity. This paper reviews AI-driven techniques for threat detection, anomaly detection, and intrusion prevention. We explore machine learning and deep learning models used in malware detection, phishing prevention, and behavioral analysis. The challenges of adversarial attacks, model robustness, and explainability in cybersecurity are also discussed. The review concludes with emerging trends and future research opportunities.