Native Xet Protocol Support in JFrog Artifactory: How Enterprise Model Management Actually Works

A JFrog post explaining how the JFrog Platform can serve as the system of record for every AI asset in a Dell AI Factory, keeping AI models and software artifacts managed in one place.

Coding-agent plugins are executable software, not settings — hooks run shell commands and MCP servers hold credentials — so JFrog introduces Agent Plugins Repositories in Artifactory to govern them.

JFrog ML's CTO on the AI-native enterprise: shadow AI, governance gaps and a 7x spike in malicious Hugging Face models show AI assets need the rigor applied to software supply chains.

A five-step guide to productionizing Databricks models with JFrog: proxy and scan Hugging Face downloads, log to a registry, package, scan the container, then deploy a secure endpoint.

JFrog pitches Artifactory as a model registry: models stored as first-class artifacts gain versioning, reproducibility and governance; 92% of firms plan more AI, only 1% feel mature.

JFrog launches the AI Catalog, a unified hub to discover, govern and serve AI/ML models — an 'AI system of record' tackling model sprawl and compliance risk, built with partners like NVIDIA.