The Rise of AI in Cybersecurity: Transforming Threat Detection and Response
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.
Institutions
- Jizzakh State Pedagogical University (UZ)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-06
- DOI
- https://doi.org/10.5281/zenodo.15351062
- Primary Topic
- Trauma, Hemostasis, Coagulopathy, Resuscitation
- Type
- article
- Field-Weighted Citation Impact
- 0.00