Organizations increasingly rely on complex AI and machine learning models to support critical decision-making processes across various industries, with 78% of businesses using AI in at least one function. However, the effectiveness of these models depends heavily on robust frameworks and governance to address security risks such as adversarial attacks, model drift, and compliance issues. The FrogML SDK and JFrog Artifactory offer a comprehensive solution for integrating, managing, and securing machine learning models within existing development lifecycles. By storing and versioning both proprietary and open-source models centrally, the SDK ensures enhanced collaboration, security, and governance. This approach allows organizations to focus on deriving value from their models while maintaining compliance and mitigating risks. Additionally, JFrog ML extends these capabilities by providing an end-to-end MLOps platform that supports model deployment, evaluation, monitoring, and security, ensuring operational continuity and trust throughout the model lifecycle.