AI LEADING FIELDS IN CYBERSECURITY
DOI:
https://doi.org/10.5281/Keywords:
Artificial Intelligence, Cybersecurity, Machine Learning, Deep Learning, Federated Learning, Intrusion Detection System, Threat Intelligence, Generative AI.Abstract
Artificial Intelligence (AI) has become one of the most transformative technologies in modern cybersecurity. The rapid increase in cyber threats, ransomware attacks, phishing campaigns, and zero-day vulnerabilities has accelerated the integration of AI-driven solutions into security infrastructures. AI technologies such as Machine Learning (ML), Deep Learning (DL), Federated Learning (FL), and Generative AI are increasingly used in intrusion detection systems, malware analysis, behavioral analytics, automated incident response, and threat intelligence. This article analyzes the leading fields where AI significantly contributes to cybersecurity, compares major AI methods, and evaluates their advantages and limitations. Recent studies published between 2020 and 2025 are reviewed to identify emerging trends and future directions. Statistical evidence demonstrates that AI-based cybersecurity systems improve threat detection accuracy, reduce response time, and enhance proactive defense capabilities. However, challenges such as adversarial attacks, privacy concerns, explainability, and model bias remain critical research issues.
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