Integrating Artificial Intelligence in to Devops Security: Vulnerability Detection Threat Prevention and Automated Compliance

Authors

  • Adebayo David Samuel University of Suffolk, UK
  • Lanre Shittu University of Bradford, UK
  • Sylvia O. Eziefula Robert Gordon University, Aberdeen, UK https://orcid.org/0009-0008-2439-2949

DOI:

https://doi.org/10.5281/zenodo.14684617

Keywords:

Artificial Intelligence, Devops Security, Vulnerability Detection, Threat Prevention, Automated Compliance, Continuous Integration, Continuous Deployment, Security Automation

Abstract

As organizations increasingly adopt DevOps to accelerate software development and deployment, ensuring robust security within this fast-paced environment has become a critical challenge. This research investigates the integration of Artificial Intelligence (AI) into DevOps security workflows, focusing on vulnerability detection, threat prevention, and automated compliance. Through a comprehensive exploration of AI techniques, including machine learning and deep learning, this study examines how AI-driven tools enhance security operations, mitigate risks, and improve compliance in DevOps pipelines. The findings underscore the transformative potential of AI in strengthening DevOps security frameworks.

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Published

2023-11-28

How to Cite

Samuel, A. D., Shittu, L., & Eziefula, S. O. (2023). Integrating Artificial Intelligence in to Devops Security: Vulnerability Detection Threat Prevention and Automated Compliance. International Journal of Scientific Research and Modern Technology, 2(11), 10–18. https://doi.org/10.5281/zenodo.14684617

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