JFrog ML, part of the JFrog Software Supply Chain Platform, offers an integrated solution for AI/ML development by streamlining MLOps practices and reducing complexity for Data Scientists and ML Engineers. It provides essential functionalities such as experiment tracking, a model registry, scalable deployment, model monitoring, and a feature store to centralize data preparation and reuse. Enhanced security features, including automated vulnerability scans, ensure models meet compliance standards before deployment. JFrog ML supports generative AI workflows with advanced tools for prompt management and embedding retrieval, facilitating experimentation with large language models. By incorporating security measures and simplifying the ML toolchain, JFrog ML allows teams to focus on innovation while maintaining trust and efficiency in AI workflows. As part of the broader JFrog Platform, it aligns AI development with standard business processes, offering a trusted and secure environment for deploying machine learning models.