Dataiku Govern
Track and manage data and AI initiatives across the organization in a single place.
Last verified April 26, 2026About Dataiku Govern
Dataiku Govern is the governance module of the Dataiku AI platform, providing centralized model registry, LLM registry, bundle registry, and workflow-based sign-off processes for AI project lifecycle management. It enables organizations to qualify AI projects by risk and value, enforce approval gates before model deployment, document traceability, and prepare for EU AI Act compliance with pre-built solution templates. Govern integrates natively with Dataiku's Design and Deployer nodes to provide end-to-end oversight without requiring separate tooling.
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Coverage claims documented by Dataiku Govern on their own materials. Chip shading reflects the strength of the claim, not an independent audit.
EU · in force
Capabilities
Features Dataiku Govern markets publicly. Inclusion means the capability is documented — not that it's best-in-class.
AI Model Inventory
Centralized registry of all AI/ML models in use across the organization, with ownership, lifecycle stage, and risk classification.
Policy Management
Authoring, versioning, and distribution of AI usage policies mapped to regulations.
Risk Assessment Workflow
Guided workflows for completing AI impact assessments, risk scoring, and approval routing.
Audit Logging
Tamper-evident logging of governance events (approvals, model changes, policy decisions) required by EU AI Act Article 12 and similar regulations.
Bias & Fairness Testing
Automated statistical testing for disparate impact across protected attributes, with audit-ready reports.
LLM Evaluation
Systematic testing of LLM outputs for correctness, relevance, safety, and consistency using automated scorers, rubrics, or human review.
Data Lineage
Tracking the origin, movement, transformations, and consumers of data used to train and serve AI systems — required for EU AI Act Article 10 data governance and GDPR Article 30 record-keeping.
Audit Evidence Collection
Automated collection, hashing, and retention of evidence (model cards, test results, approvals) for audit.
Pricing
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