Intelligent DevOps and Artificial Intelligence–Driven Continuous Delivery Framework for Secure Enterprise and Logistics Platforms

Abstract

Modern enterprise applications demand rapid deployment, high availability, and robust security across dynamic cloud-native and on-premise environments. Traditional DevOps pipelines focus on automation and continuous integration/continuous delivery (CI/CD) but often lack intelligent mechanisms for proactive security, anomaly detection, and predictive resource management. This research proposes an intelligent DevOps and artificial intelligence (AI) driven continuous delivery architecture for secure enterprise applications. The framework integrates AI-driven predictive analytics, automated testing, dynamic resource allocation, and security monitoring into CI/CD pipelines to ensure secure, resilient, and efficient delivery. Core components include AI-based anomaly detection, automated code and configuration analysis, intelligent orchestration of deployment workflows, and real-time compliance checks. Experimental evaluation on simulated enterprise applications demonstrates reduced deployment errors, improved system reliability, and enhanced security posture compared to conventional CI/CD pipelines. By integrating AI into DevOps processes, the architecture supports proactive threat mitigation, adaptive pipeline optimization, and continuous security enforcement. This research contributes a comprehensive approach to intelligent, secure, and automated continuous delivery for enterprise applications, bridging the gap between operational efficiency and security compliance in modern DevOps environments.