GenAI-Driven Autonomous Multi-Cloud Security and Operations: Towards Self-Healing, Adaptive, and Resilient Architectures

Authors

  • Deven Chawla,Dipen Chawla

Keywords:

GenAI, multi-cloud security, self-healing, adaptive operations, SOAR, resilience

Abstract

Generative artificial intelligence (GenAI) is rapidly transforming the design and operation ofcontemporary multi-cloud environments by enabling higher levels of automation, semanticreasoning, and policy-aware decision-making. This paper develops a conceptual and technicalframework for GenAI-driven autonomous multi-cloud security and operations that foregrounds three interdependent capabilities: (1) self-healing (automatic detection, diagnosis andremediation of faults and misconfigurations

References

Sheela Hhundekari, Advances in Crowd Counting and Density Estimation Using Convolutional Neural Networks, International Journal of Intelligent Systems and Applications in Engineering, Volume 12, Issue no. 6s (2024) Pages 707–719

K. Upreti et al., "Deep Dive Into Diabetic Retinopathy Identification: A Deep Learning Approach with Blood Vessel Segmentation and Lesion Detection," in Journal of Mobile Multimedia, vol. 20, no. 2, pp. 495-523, March 2024, doi: 10.13052/jmm1550-4646.20210.

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Published

2024-05-15

How to Cite

Deven Chawla,Dipen Chawla. (2024). GenAI-Driven Autonomous Multi-Cloud Security and Operations: Towards Self-Healing, Adaptive, and Resilient Architectures . Journal of Computational Analysis and Applications (JoCAAA), 33(05), 2856–2874. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3722

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.