Artificial Intelligence for Cyber Threat Detection and Prevention: Intelligent Strategies for Next-Generation Digital Security

Abstract

The rapid growth of digital networks, cloud computing, mobile systems, and connected devices has significantly increased the scale and complexity of cyber threats. Traditional rule-based cybersecurity systems often struggle to detect sophisticated attacks, zero-day exploits, insider misuse, and high-volume threat activity in real time. Artificial Intelligence (AI) has emerged as a powerful solution for cyber threat detection and prevention by enabling automated analysis, anomaly detection, predictive intelligence, and faster incident response. AI-driven security systems can process large volumes of data, identify suspicious behavior patterns, and continuously adapt to evolving threats. This paper examines the role of Artificial Intelligence in cyber threat detection and prevention, core technologies, practical applications, benefits, challenges, ethical concerns, and future trends. The study concludes that AI is transforming cybersecurity from reactive defense to proactive and adaptive protection.

KEYWORDS: Artificial Intelligence, Cybersecurity, Threat Detection, Machine Learning, Intrusion Prevention, Digital Security, Risk Management