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ZENODO
Published
2025-05-05
Section
Articles
How to Cite
How to Cite
The Rise of AI in Cybersecurity: Transforming Threat Detection and Response
Sunnat Rizaev
Teacher Jizzakh State Pedagogical University Academic Lyceum, Uzbekistan
Sardorbek Kholmuradov
Student Jizzakh State Pedagogical University Academic Lyceum, Uzbekistan
Keywords: Artificial Intelligence, Cybersecurity, Threat Detection, Incident Response, Machine Learning, Anomaly Detection
Abstract
This article explores the transformative impact of artificial intelligence (AI) on cybersecurity, focusing on its role in enhancing threat detection and response mechanisms. As cyber threats become increasingly sophisticated, traditional methods are proving inadequate. The study examines key applications of AI, including anomaly detection, automated incident response, and user behavior analytics. Findings highlight significant improvements in detection accuracy and response times, alongside challenges such as data quality and workforce skills gaps. Ethical considerations regarding privacy and trust are also discussed. Ultimately, the research underscores the necessity of integrating AI into cybersecurity strategies to effectively tackle evolving challenges in the digital landscape.
References
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