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JFrog Ltd. has unveiled significant updates aimed at improving security in AI applications. The company has partnered with Hugging Face to implement advanced security scanning for machine learning models, addressing vulnerabilities in AI supply chains. This collaboration will provide users with a 'JFrog Certified' badge for verified models, enhancing trust and transparency.
Additionally, JFrog has integrated its platform with Nvidia's Inference Microservices to streamline the deployment of GPU-optimized models. The introduction of JFrog ML aims to unify machine learning development with traditional DevSecOps practices, ensuring that AI models are managed with the same rigor as other software artifacts.
• JFrog partners with Hugging Face for enhanced AI model security.
• New MLOps platform integrates with Nvidia for streamlined AI deployment.
MLOps refers to the practices that unify machine learning development and operations, ensuring efficient model deployment.
Security scanning involves analyzing software for vulnerabilities, crucial for protecting AI models from threats.
Generative AI refers to algorithms that can create new content, such as text or images, based on training data.
JFrog specializes in software supply chain management, focusing on secure deployment of AI models.
Hugging Face is a leading repository for open-source machine learning models, enhancing model security through JFrog's integration.
Nvidia provides GPU-optimized solutions for AI, collaborating with JFrog to streamline model deployment.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
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