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Governance with KNIME

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Meet the demands of a data & AI-driven business

Scaling from a few data practitioners to hundreds demands strong governance–especially considering the additional risks introduced by the influx of genAI technology. KNIME offers a complete toolbelt of governance features from role-based access control, to audit trails and version control, to flexible MLOps automation capabilities and more. 
role-based

Role-based platform management & customization

Control all aspects of which capabilities users can use and ensure that–when authorized sharing takes place–those resources propagate automatically. No package maintenance required. 

build

Build & automate a custom MLOps process

Define the governance and validation steps your organization requires in an easy to extend framework. Automate steps as needed.

controlled AI

Govern and scale GenAI usage with a GenAI Gateway

Govern and scale GenAI usage transparently with an AI Gateway that routes all requests through trusted AI providers and allows you to set permissions and track GenAI usage.

managed script

Managed scripting deployment

Package and deploy Python as KNIME nodes to all types of non-experts in a managed visual programming environment.

transparency

Transparency and auditability

Automatically capture all workflow aspects, from data and model lineage through to capability usage and settings. Examples and templates allow you to document and monitor in the way best suited for your organization.

deployment

Deployment & resource flexibility

Monitor and govern all deployment and resource aspects, whether local, edge, cloud or a hybrid of all.

Recommended resources

Workflowhub

How to set up Continuous Deployment in KNIME

Review how you can use KNIME capabilities to create & automate a continuous deployment process.

Networkblog

Compliance and explainability with metadata mapping

Read a blog about how KNIME allows for full capture of metadata for external documentation