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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2025 IEEE International Conference on Service-Oriented System Engineering (SOSE) S. 79 - 84
1. Verfasser:	Mittal, Akshay
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 21.07.2025
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!