AI-Augmented DevSecOps Pipelines for Secure and Scalable Service-Oriented Architectures in Cloud-Native Systems

Cloud-native architectures face escalating security challenges that traditional approaches cannot address at scale. This paper presents an AI-augmented DevSecOps framework integrating machine learning models into security pipelines for realtime threat detection and automated response. The framework...

Full description

Bibliographic Details

Published in:	2025 IEEE International Conference on Service-Oriented System Engineering (SOSE) pp. 79 - 84
Main Author:	Mittal, Akshay
Format:	Conference Proceeding
Language:	English
Published:	IEEE 21.07.2025
Subjects:	Adaptation models Anomaly detection ci/cd pipelines cloud-native security devsecops Faces kubernetes Machine learning Microservice architectures microservices Pipelines Security Service-oriented systems engineering Threat assessment Training
ISSN:	2642-6587
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!