AI-Driven Cyber Threats & Defenses

Abstract

ABSTRACT

The rapid adoption of Artificial Intelligence (AI) across various domains has transformed cybersecurity, enabling both sophisticated defenses and advanced threats. AI-driven cyber threats leverage machine learning, natural language processing, and deep learning techniques to bypass traditional security measures, making attacks faster, adaptive, and more difficult to detect. Conversely, AI-based defense mechanisms enhance threat detection, response automation, anomaly identification, and predictive threat analysis. This paper reviews recent advancements in AI-driven cyber threats and defenses, discussing attack vectors, defense strategies, ethical considerations, and emerging trends. It also emphasizes the importance of AI-human collaboration, ethical AI deployment, and regulatory frameworks to maintain secure digital ecosystems.

KEYWORDS: Artificial Intelligence, Cybersecurity, Machine Learning, Threat Detection, AI-Driven Attacks, Cyber Defense, Anomaly Detection, Deep Learning, Adversarial AI