JFrog Empowers a Secure AI Journey for Developers, Integrates with Databricks’ MLflow for a Seamless Machine Learning Lifecycle
New
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JFrog Delivers Secure AI Journey With New MLflow Integration (Graphic: Business Wire)
Industry research suggests 80% or more of ML models built to create new AI-powered applications fail to deploy, largely due to technical hurdles with integrating the model into existing operations. JFrog’s integration with MLflow helps organizations overcome this by seamlessly uniting the MLflow popular open source model development solution with an organization’s mature DevOps workflows – delivering end-to-end visibility, automation, control and traceability of ML models from experimentation to production.
“For organizations to successfully embrace and deliver AI and GenAI–powered applications at scale, developers and data science teams must manage models with trust, the same way they manage all software packages,” said
JFrog MLOps: A single source of truth for all models
Building on its successful integrations with all major ML tools in the market, the combination of JFrog Artifactory and MLflow enables ML engineers, Python, Java, and R developers with the freedom to work with their preferred tool stack, using Artifactory as their gold-standard model registry. JFrog’s universal, scalable platform also natively proxies Hugging Face allowing developers to always access available open source models while simultaneously detecting malicious models and enforcing license compliance. The solution also comes with the software security features and scanners provided by the JFrog Platform to maintain risk-free ML applications.
MLSecOps - Trusted and Curated models
Uniting JFrog Artifactory with MLflow will empower users to more easily build, train, and deploy models with greater security, governance, versioning, traceability, and trust by leveraging JFrog’s scanning environment to rigorously examine every new model uploaded to Hugging Face.
For a deeper look at JFrog’s integration with MLflow to power ML and GenAI-powered app development, read this blog post. Developers interested in going hands-on with these new features can download the free plug-in here.
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