JFrog has announced its integration with Nvidia NIM microservices as part of an effort to strengthen its software supply chain platform. This collaboration is aimed at facilitating secure deployment of AI and ML models, utilizing JFrog's capabilities across DevSecOps and MLOps. As the demand for AI applications grows, JFrog's chief strategy officer, Gal Marder, emphasized the importance of overcoming security challenges that can hinder AI deployments, particularly regarding the complexities of integrating new AI workflows with existing development processes.
"The demand for secure and efficient AI implementations continues to rise, with many businesses aiming to expand their AI strategies in 2025. However, AI deployments often struggle to reach production due to significant security challenges."
"AI-powered applications are inherently complex to secure, deploy and manage - [and] concerns around the security of open source AI models and platforms continue to grow."
Collection
[
|
...
]