Granular access controls

Implement fine-grained permissions based on roles and responsibilities.

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A screenshot of three examples of the ZenML dashboard showcasing model versions, RBAC permissions and a model card view.

Custom role definition

Create and manage roles tailored to your organization's needs

An example of the ZenML interface with users from different roles colaborating in the platform.

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Integration with existing identity providers

Seamlessly connect with your current authentication systems

Audit logging (coming soon)

Track all access and permission changes for compliance and security purposes.

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ZenML allows you to keep your ML pipeline code cloud-agnostic, enabling faster future migrations to another technology stack. The management of the metadata and artifacts generated at each step is seamless, and allows the user to extend the framework if needed without much effort.

Gabriel Martin

Machine Learning Engineer at Frontiers

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Alt text: "Dashboard displaying a list of machine learning models with details on versioning, authors, and tags for insights and predictions."