JFrog has announced the release of its AI catalog. This is a new extension to the JFROG platform designed to help organizations discover, manage and deploy AI and machine learning (ML) models safely.
The AI Catalog aims to help integrate AI services throughout the software supply chain and provide access to open source AI models, including the Nvidia Nemotron family. These models will be available in open weights, datasets, and usage guides to address industry requirements for transparency and control in the deployment of AI models.
Governance and security
Yuval Fernbach, Vice President and CTO at JFrog ML, highlighted the growing challenges regarding governance and security as AI adoptions accelerate across different sectors. In his statement, Farnbach said:
“One of the biggest challenges for organizations embracing AI is ensuring governance and security to deliver trustworthy AI. Based on a secure model registry, the new AI catalogue provides a centralized hub for accessing and governing AI/ML models. With the catalogue, organizations can fully visualize, comply and control model usage, helping organizations innovate faster while providing trustworthy AI in today's complex regulatory environment.”
This focus on security and compliance is intended to mitigate operational complexity and help teams maintain compliant workflows when implementing third-party or internally developed AI models. The catalog is designed to be scalable and provides continuous security scans and evidence tracking of AI models via JFrog Xray, including visibility into the model lineage to support document efforts and audit trails.
Industry Context
A recent Gartner study has seen data science and machine learning initiatives become more distributed within organizations, increasing the need for effective surveillance and governance. According to Gartner, “A key challenge for data science and AI leaders is overseeing and managing the activities of distributed DSML teams while optimizing collaboration with centralized resources.
In response, JFROG's AI catalogue is positioned as a central repository where various AI assets, including models and datasets, can be deployed and managed using policies and permission controls that can be enforced per project.
AI Catalog Features
Key features of the JFROG AI Catalog include end-to-end model governance. This governance allows organizations to track usage and manage access with detailed controls. Continuous security integration for continuous compliance. Searchable discoverability via tags and metadata. The ability to build special AI agents. The platform also offers one-click deployment capabilities, whether it's your own infrastructure, via external AI model providers such as OpenAI and humanity.
The integration of catalogs with the open ecosystem covers both public repository and commercial provider models, aiming to enable teams to easily discover secure production-ready models and deploy full visibility.
On the front of enterprise adoption, Adel El Hallak, senior director of Nvidia's products, commented.
“Companies are facing an increasing demand for secure, transparent AI model management to maintain compliance and accelerate innovation. By providing direct access to NVIDIA Nemotron models and NIM microservices within the JFROGAI catalog, organizations provide increased visibility and control, support for security, and support for workful.
Integration and deployment
The AI Catalog supports direct integration with external APIs from providers such as AWS, Google, OpenAI, and humanity, as well as the deployment of containerized models internally. It is designed to simplify the path from discovery of AI models to operational deployment, while tracking usage patterns and compliance requirements.
Teams can now access and manage a wide selection of curated AI models and datasets, improve collaboration between developers and data scientists, and enforce security standards through integrated scanning and tracking capabilities. The ability to manage model access at the centre of its management also addresses the need for strong policy enforcement across diverse projects and teams.
The JFROG AI Catalog is readily available to JFROG Curation users and supports the management of both traditional and AI artifacts.
