Hybrid AI-Blockchain Framework for Secure Multi-Cloud DEVSECOPS Pipelines

Abstract

As software is now delivered and used faster and as organizations use several cloud services at the same time, traditional DevSecOps security practices struggle to adapt. This study features a new combination of AI and Blockchain technologies to improve the safety, visibility and automation of DevSecOps processes used on distributed cloud systems. AI is used to rate risks, detect unusual patterns and enforce policies as they change, while Blockchain technology guarantees that reports, user identification and compliance history cannot be changed or removed. Federated learning is made possible by the framework to protect data across different geographical regions and it works well with CI/CD so deploying new versions becomes easy and flexible. Using designed multi-cloud systems and scenario simulations, the software package shows increased success in reducing the time for threat detection, keeping records and being compliant. By demonstrating the application of hybrid AI-Blockchain structures, the study plays a role in building trust, increasing scalability and complying with guidelines in fluctuating DevSecOps settings.