AI-Powered DevSecOps: Revolutionizing Security in Multi-Cloud Environments

AI-powered DevSecOps represents a transformative advancement in securing multi-cloud environments, addressing critical challenges in modern digital infrastructure protection. The integration of artificial intelligence with security operations has revolutionized threat detection, compliance management, and incident response capabilities across diverse industry sectors. Through automated orchestration and machine learning algorithms, organizations can now process vast amounts of security data in real time, enabling proactive threat mitigation and standardized security controls across distributed cloud platforms. The implementation of AI-driven security frameworks has demonstrated remarkable improvements in operational efficiency, cost reduction, and threat prevention capabilities. The convergence of AI and DevSecOps has enabled organizations to maintain robust security postures while managing increasingly complex cloud environments, resulting in enhanced protection of sensitive data, improved compliance adherence, and significant reductions in security-related operational disruptions across financial services, healthcare, and government sectors

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-03-22
DOI
https://doi.org/10.71097/ijsat.v16.i1.2752
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Powered DevSecOps: Revolutionizing Security in Multi-Cloud Environments

Ravi Kumar Amaresam -
International Journal on Science and Technology
Scientific Computing and Data Management
article

AI-Powered DevSecOps: Revolutionizing Security in Multi-Cloud Environments

Ravi Kumar Amaresam -
article en

Abstract

AI-powered DevSecOps represents a transformative advancement in securing multi-cloud environments, addressing critical challenges in modern digital infrastructure protection. The integration of artificial intelligence with security operations has revolutionized threat detection, compliance management, and incident response capabilities across diverse industry sectors. Through automated orchestration and machine learning algorithms, organizations can now process vast amounts of security data in real time, enabling proactive threat mitigation and standardized security controls across distributed cloud platforms. The implementation of AI-driven security frameworks has demonstrated remarkable improvements in operational efficiency, cost reduction, and threat prevention capabilities. The convergence of AI and DevSecOps has enabled organizations to maintain robust security postures while managing increasingly complex cloud environments, resulting in enhanced protection of sensitive data, improved compliance adherence, and significant reductions in security-related operational disruptions across financial services, healthcare, and government sectors

International Journal on Science and TechnologyVol. 16(1)
Openalex Percentile: Top 94%
Scientific Computing and Data Management
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