A comparative performance analysis of automated cloud security remediation architectures for AWS cloud environments

Vitalii Molnar; Dmytro Sabodashko; Іvan Оpirskyy

doi:10.1504/ijics.2026.10078942

January 1, 2026International Journal of Information and Computer Security

A comparative performance analysis of automated cloud security remediation architectures for AWS cloud environments

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Key Points

The aim is to evaluate and compare the effectiveness of different automated cloud security remediation architectures within AWS environments.
Performance metrics were analyzed across various automated remediation architectures.
A comparative framework was developed to assess security effectiveness and efficiency in AWS cloud settings.
Cloud security incidents were simulated to evaluate remediation responses.
Automated architectures significantly reduced incident response times compared to manual approaches.
Performance varied, with some architectures showing up to a 30% improvement in remediation speed and effectiveness.
User satisfaction and compliance rates increased by 20% with the implementation of automated remediation solutions.

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Implication

Comparative performance analysis assesses cloud security remediation in AWS environments, suggesting new insights into overall effectiveness.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Molnar et al. (2026) studied this question.

synapsesocial.com/papers/6a22695a763171746d547db9 https://doi.org/10.1504/ijics.2026.10078942

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A comparative performance analysis of automated cloud security remediation architectures for AWS cloud environments

Key Points

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Implication

Abstract

Discussion

Cite This Study

A comparative performance analysis of automated cloud security remediation architectures for AWS cloud environments

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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