SecureAI-Flow: A Security-Oriented CI/CD Framework for AI Software

The rapid growth of artificial intelligence (AI) applications necessitates robust software development pipelines that emphasize both scalability and security. This paper proposes SecureAI-Flow, a security-oriented Continuous Integration/Continuous Deployment (CI/CD) framework tailored for AI software systems. SecureAI-Flow integrates security practices throughout the AI software development lifecycle, addressing threats from data ingestion to model deployment. The framework embeds static code analysis, model robustness validation, secure containerization, and threat monitoring as part of the pipeline. We present the conceptual architecture, explain core components, and compare existing approaches to demonstrate how SecureAI-Flow addresses key security challenges in the AI software supply chain.