Incorporating AI-Driven Strategies in DevSecOps for Robust Cloud Security


Authors : Sakthiswaran Rangaraju; Dr. Stephanie Ness; Rajesh Dharmalingam

Volume/Issue : Volume 8 - 2023, Issue 11 - November

Google Scholar : http://tinyurl.com/3rsp7j6r

Scribd : http://tinyurl.com/2p99h4xx

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

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.

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.

Video Explanation for Published paper

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