Emerging Security Challenges and AI-Driven Solutions in Multi-Cloud and Hybrid Environments

Sheshananda Reddy Kandula

doi:10.70589/JRTCSE.2025.13.1.11

Authors

Sheshananda Reddy Kandula Adobe Inc, New York, US Author

DOI:

https://doi.org/10.70589/JRTCSE.2025.13.1.11

Keywords:

Hybrid Cloud, Multi-Cloud, AI Security, AI Agents, Threat Detection, Encryption, Policy Automation, Security

Abstract

Hybrid cloud and multi-cloud setups bring in additional security issues. As distributed cloud approaches become more popular, data security, identity management, regulatory compliance, and infrastructure misconfigurations are top priorities. The paper discusses future directions and trends in securing these environments, such as artificial intelligence-based threat detection, advanced encryption methods, and policy automation to apply consistent security controls. The literature review identifies main research areas, gaps and emerging innovations to address the evolving threat landscape of cloud security. As companies struggle with these concerns, cooperation among enterprises and cloud providers will be essential in creating effective security frameworks that respond to evolving threats. Effective execution of these frameworks will include continuous education and training of IT practitioners to stay abreast in knowledge and skills to respond effectively to cloud security threats. Constant investment in research and development will also be necessary to keep driving innovation, allowing for more advanced tools and technology to be developed to foresee risks early on so that they do not become full-blown breaches. Additionally, organizations must prioritize a security awareness culture for all staff members since human error is still one of the significant sources of security breaches in cloud computing.

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