What question did this study set out to answer?

The aim is to investigate how AI and ML can enhance cloud governance to secure multi-cloud architectures.

April 6, 2026Open Access

Secure Multi-Cloud Architecture Using AI-Based Governance

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The aim is to investigate how AI and ML can enhance cloud governance to secure multi-cloud architectures.
Review of current multi-cloud architecture challenges and security issues
Analysis of AI and ML applications in cloud governance frameworks
Examination of anomaly detection and risk modeling techniques
Discussion of policy orchestration and compliance monitoring
AI-driven automation improves real-time security management
Predictive models enhance risk assessment capabilities
Continuous monitoring fosters proactive governance and compliance
AI is essential for maintaining security in complex cloud ecosystems

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Implication

This review explores AI integration in cloud governance for improved security in multi-cloud environments, indicating its importance for modern organizations.

Cite This Study

Ramesh Thapa (2025) studied this question.

synapsesocial.com/papers/69d34eac9c07852e0af9840b https://doi.org/10.5281/zenodo.19417760

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Implication

This review explores AI integration in cloud governance for improved security in multi-cloud environments, indicating its importance for modern organizations.

Secure Multi-Cloud Architecture Using AI-Based Governance

Key Points

Discussion

Implication

Cite This Study

Secure Multi-Cloud Architecture Using AI-Based Governance

Key Points

Discussion

Implication

Cite This Study

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