Proactive Security with AI: Revolutionizing Cloud Infrastructure Protection

The integration of artificial intelligence in cloud security represents a transformative shift in how organizations protect their digital infrastructure. AI-driven security automation has revolutionized threat detection, response mechanisms, and vulnerability management across enterprise environments. Organizations implementing these advanced systems have experienced significant improvements in threat detection capabilities, reduced response times, and enhanced operational efficiency. The combination of machine learning models, behavioral analytics, and automated response mechanisms has enabled proactive threat prevention and robust security posture maintenance. The evolution from reactive to proactive security management, coupled with sophisticated detection methods and immediate response capabilities, has fundamentally altered the landscape of enterprise cybersecurity.

Authors

Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-05-03
DOI
https://doi.org/10.32996/jcsts.2025.7.3.31
Citations
1
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
1.49
Controls
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article

Proactive Security with AI: Revolutionizing Cloud Infrastructure Protection

Krupal Gangapatnam
1 citations
Journal of Computer Science and Technology Studies
Network Security and Intrusion Detection
1.49
article

Proactive Security with AI: Revolutionizing Cloud Infrastructure Protection

Krupal Gangapatnam
article en
1 citations

Abstract

The integration of artificial intelligence in cloud security represents a transformative shift in how organizations protect their digital infrastructure. AI-driven security automation has revolutionized threat detection, response mechanisms, and vulnerability management across enterprise environments. Organizations implementing these advanced systems have experienced significant improvements in threat detection capabilities, reduced response times, and enhanced operational efficiency. The combination of machine learning models, behavioral analytics, and automated response mechanisms has enabled proactive threat prevention and robust security posture maintenance. The evolution from reactive to proactive security management, coupled with sophisticated detection methods and immediate response capabilities, has fundamentally altered the landscape of enterprise cybersecurity.

Journal of Computer Science and Technology StudiesVol. 7(3)
Openalex Percentile: Top 18%
Network Security and Intrusion Detection
1.49
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