Incorporating AI-Driven Strategies in DevSecOps for Robust Cloud Security

Sakthiswaran Rangaraju; Dr. Stephanie Ness; Rajesh Dharmalingam1

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Publication Date: 2023/12/12

Abstract: This research paper explores the integration of artificial intelligence (AI) strategies into the DevSecOps framework to enhance cloud security including using an analytical techniques, leveraging both quantitative and qualitative methodologies to assess the efficacy of AI-solutions in mitigating security risks. This studies contributes to a nuanced knowledge of the symbiotic relationship among AI and DevSecOps, shedding light on how combining artificial intelligence technology can improves security. The paper additionally discusses implications and challenges related to implementing AI in DevSecOps workflows, considering factors including scalability, interpretability, and adaptability.

Keywords: No Keywords Available

DOI: https://doi.org/10.5281/zenodo.10361289

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23NOV1860.pdf

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