Manage, Secure, and Deliver Trusted AI/ML Components

See how JFrog allows you to unify MLOps and DevSecOps to bring AI/ML assets into your secure software supply chain confidently.

  • Simplified model versioning and management
  • ML model and AI component security and governance
  • “One line of code” implementation
  • Integrated across the AI/ML Ecosystem

Experience Responsible AI/ML with JFrog

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See how JFrog allows you to unify MLOps and DevSecOps to bring AI/ML assets into your secure software supply chain confidently.

  • Simplified model versioning and management
  • ML model and AI component security and governance
  • “One line of code” implementation
  • Integrated across the AI/ML Ecosystem

Our Partners:

Manage ML Models and
Software Packages
in One Place

Manage versioned AI/ML models inclusive of their software packages, data, and dependencies as a single package alongside all the other artifacts that make up your applications for a single system of record for model delivery.

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“Having a single system of record that can help automate the development, ongoing management, and security of ML Models alongside all other components that get packaged into applications offers a compelling alternative for optimizing the process”

Jim Mercer, Research Vice President, DevOps & DevSecOps, IDC

Rollback, Retrain and
Replace with Ease

Know what ML services are running - and the full context of how they were brought to production - to easily address any issues that may arise.

Hassle-free MLSecOps

Keep the ML development processes and tools your developers love and gain all the security, versioning, and operational advantages of JFrog with “one line of code” implementation.

Ensure Integrity and Security of
ML Models

Protect your applications from hidden scripts and clever malicious behaviours with built-in detection of malicious models and license compliance within your chosen ML models and AI components.

Comprehensive
AI/ML Governance

Gain authority over AI/ML usage across your development organization to preempt regulation with auditable tools and policies that control where AI components may be used and standards components must meet for use.

Experience Responsible AI/ML with JFrog

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