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.
