AI-Driven Cyber Threat Detection and Prevention Systems

Rakhi  Thakur

AI-Driven Cyber Threat Detection and Prevention Systems

Authors

Rakhi Thakur

Keywords:

Artificial Intelligence, Cyber security, Threat Detection, Intrusion Prevention, Machine Learning, Deep Learning, Anomaly Detection, Network Security

Abstract

The increasing complexity and frequency of cyberattacks in today’s interconnecteddigital environment have outpaced the capabilities of traditional security mechanisms. To addressthese evolving threats, Artificial Intelligence (AI) has emerged as a transformative technology in cybersecurity.

References

Salem, A. H. (2024). Advancing cybersecurity: A comprehensive review of AI-driven detection techniques. Journal of Big Data, 11(1), 1–23. https://doi.org/10.1186/s40537-024-00957

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Published

2024-04-20

How to Cite

Rakhi Thakur. (2024). AI-Driven Cyber Threat Detection and Prevention Systems . Journal of Computational Analysis and Applications (JoCAAA), 33(4), 925–931. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3889