Organizations today have benefited from mature DevSecOps practices to achieve trusted software supply chains. However, when it comes to MLSecOps, technology leaders face issues identifying AI components in software in addition to ensuring ML model security, version control, rollback, and governance.
Overcome these challenges and accelerate your AI/ML initiatives by bringing mature DevOps and Security practices to your AI pipelines. The JFrog Platform - integrated with leading ML model hubs and development platforms - offers a comprehensive solution for securing and managing the versioned AI/ML models, software packages, data, and dependencies as a single entity, alongside all the other artifacts that make up your applications.
All Your AI/ML Components,
Secured in One Place
Create a common hub between Data Scientists, Developers, and DevSecOps teams with a single source of truth for
versioned, approved, and production-ready AI/ML assets.
versioned, approved, and production-ready AI/ML assets.
Block Harmful
AI Components Detect and prevent malicious, vulnerable, and non-compliant ML packages from being used in your organization with automated policies.
AI Components Detect and prevent malicious, vulnerable, and non-compliant ML packages from being used in your organization with automated policies.
Manage Model Artifacts Comprehensively Manage all the artifacts and data that make up a model as a single entity alongside the components needed for it to run in production
Operationalize AI/ML
Components with Ease Ensure the right model versions are used at the right place and the right time with greater traceability and governance across the SDLC
Components with Ease Ensure the right model versions are used at the right place and the right time with greater traceability and governance across the SDLC
Identify
Hidden AI Discover where AI/ML may be hiding in components and applications to map and control the usage of AI across your software supply chain.
Block Harmful
AI Components Detect and prevent malicious, vulnerable, and non-compliant ML packages from being used in your organization with automated policies.
Manage Model Artifacts Comprehensively Manage all the artifacts and data that make up a model as a single entity alongside the components needed for it to run in production
Operationalize AI/ML
Components with Ease Ensure the right model versions are used at the right place and the right time with greater traceability and governance across the SDLC
Where Data Science and DevSecOps meet
Bring the right DevSecOps tools and processes to model development while allowing Data Scientists and ML Engineers to work in their preferred spaces. JFrog integrates natively across the AI/ML ecosystem and provides the client side SDKs and CLI to seamlessly integrate into ML model development workflows.
Explore JFrog Integrations
Guarantee the Right Components are Used Across Teams
Provide Data Science and ML teams with secure Python, C/C++, Images and other software components to use in
model development and a single place to manage training outputs, while making it simple for DevOps and
Developers to identify which versions of models to incorporate in production ready assets.
Benefit from
an Enterprise
Ready Platform
an Enterprise
Ready Platform
True Universality
Bring the management of AI/ML models alongside your images, PyPI, CRAN, Conda, Conan, and 30+ additional software component types for a unified view of the software you’re building and releasing. Operate in self-hosted data centers, in the cloud, or across multiple public clouds for ultimate flexibility in where and how you build software.
Integrated Security
Protect your applications from hidden scripts and clever malicious behaviors with built-in detection of malicious models and license compliance within your chosen ML Model binaries. Continuous, built-in scanning fortifies your supply chain, blocks risk, and simplifies remediation.
Auditing and Traceability
Control how AI/ML components enter and advance across your organization with greater efficiency. Capture signed evidence of every action taken against immutable releases to get full traceability of every component and see where they’re used across your environments.
Proven Scale
The JFrog Platform is proven to meet the needs of the largest organizations in the world, handling petabytes of data across multiple sites without breaking a sweat. Your mission critical tools, components, and data are available and accessible wherever, whenever needed with trusted enterprise resilience.
