The integration of models into JFrog Artifactory using the FrogML SDK marks the beginning of an efficient AI/ML management process, where models are treated as first-class artifacts in a secure and dynamic Model Registry. This approach addresses common challenges in model management, such as versioning, data quality, governance, and team collaboration, by providing a centralized, traceable system that ensures compliance and security. Artifactory serves as a universal repository for storing and managing proprietary and third-party models, offering simplified versioning and robust security measures. The JFrog ML platform further enhances the MLOps lifecycle by facilitating model training, deployment, and monitoring, while the JFrog AI Catalog accelerates production with features like model lineage and one-click deployment. Together, these tools enable organizations to incorporate AI development into their standard business processes, promoting faster innovation and maintaining the necessary visibility and control to build trust in AI applications.