A Scalable and Secure Framework for AI Deployment in High-Impact Sectors

Authors

  • Venkateswara rao batta

Keywords:

Scalable AI Infrastructure, AI Security, Cloud-Native Technologies, High-Impact Industries, Data Integrity.

Abstract

As industries increasingly adopt AI-driven solutions, scalable and secure infrastructures become essential tomanage data-intensive operations. This paper presents a modular design for scalable AI infrastructure thatintegrates advanced security protocols with cloud-native technologies. The proposed architecture ensures dataintegrity, protects sensitive information, and adapts to evolving workload demands. Applications in healthcareand finance are analyzed to demonstrate the model's versatility, highlighting improvements in scalability,reliability, 

References

Gannon, D.; Barga, R.; Sundaresan, N. Cloud-native applications. IEEE Cloud Comput. 2017, 4, 16–21.

Huang, S.Y.; Chen, C.Y.; Chen, J.Y.; Chao, H.C. A Survey on Resource Management for Cloud Native Mobile Computing: Opportunities and Challenges. Symmetry 2023, 15, 538.

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Published

2024-05-15

How to Cite

Venkateswara rao batta. (2024). A Scalable and Secure Framework for AI Deployment in High-Impact Sectors. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 1916–1925. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3085

Issue

Vol. 33 No. 05 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.