JFrog, the Liquid Software company and creator of the JFrog Software Supply Chain Platform, has announced three major updates – the launch of JFrog ML, a secure MLOps solution, and new integrations with Hugging Face and NVIDIA NIM.
These advancements improve AI model security, streamline deployment, and provide enterprise-grade governance for scalable, production-ready AI applications.
JFrog has partnered with Hugging Face, the host of the world’s largest public machine-learning model repository, to improve machine-learning security by integrating JFrog Advanced Security into the Hugging Face Hub. This collaboration enables deeper security scans, with a ‘JFrog Certified’ checkmark highlighting safer models to help developers mitigate risks and ensure responsible AI use.
JFrog has launched JFrog ML, an end-to-end platform unifying DevOps, DevSecOps, and MLOps to streamline and secure AI software delivery. It integrates model management, security scanning, and governance, enabling enterprises to confidentally develop and deploy AI applications.
JFrog has also announced the integration of NVIDIA NIM microservices into its platform, allowing secure, efficient deployment of GPU-optimised AI models and LLMs, including Meta’s Llama 3 and Mistral AI. This integration improves AI model security, governance, and performance, helping enterprises accelerate AI adoption with greater visibility and control.
