Cite this article

@article{vol4issue1fromreactivetoproactiveanaiaugmenteddevsecopsframeworkforautomatedanomalydetectionandresponseincloudnativeenvironments,
  title = {From Reactive to Proactive: An AI-Augmented  DevSecOps Framework for Automated Anomaly  Detection and Response in Cloud-Native Environments},
  author = {Cheekuru, Sujith},
  journal = {AI Tech International Journal},
  volume = {4},
  number = {1},
  pages = {9--19},
  doi = {https://doi.org/10.64180/oct.techai.260102},
  issn = {3079-4749}
}

TY  - JOUR
AU  - Cheekuru, Sujith
TI  - From Reactive to Proactive: An AI-Augmented  DevSecOps Framework for Automated Anomaly  Detection and Response in Cloud-Native Environments
JO  - AI Tech International Journal
VL  - 4
IS  - 1
SP  - 9
EP  - 19
DO  - https://doi.org/10.64180/oct.techai.260102
AB  - <p style="text-align:justify;">The rapid adoption of cloud-native architectures, containerization, and Continuous Integration/Continuous Deployment (CI/CD) pipelines has fundamentally transformed software delivery, enabling unprecedented velocity and scalability. However, this transformation has simultaneously expanded the cyber attack surface, introducing novel security vulnerabilities that traditional, perimeter-based security models cannot adequately address. This paper presents a comprehensive framework for automated anomaly detection and response specifically designed for cloud-native DevOps environments, inspired by the patent specification of Mistry, Goswami, and Mavani (2024) on automated anomaly detection and response systems for cloud security.</p>
KW  - Cloud  Security
KW  - Anomaly Detection
KW  - DevSecOps
KW  - CI/CD  Pipeline
KW  - Machine  Learning
KW  - Artificial Intelligence
KW  - Cloud Platform Engineering
KW  - Automated Response
KW  - Zero Trust
KW  - Policy-as-Code 
SN  - 3079-4749
UR  - https://techaijournal.com/article/vol-4-issue-1-from-reactive-to-proactive-an-ai-augmented-devsecops-framework-for-automated-anomaly-detection-and-response-in-cloud-native-environments
ER  -