Dataiku Govern
The governance layer that oversees the risk of models and AI projects at the organizational level.
A governance and MLOps layer that oversees, approves, and audits ML models and generative AI and agent projects enterprise-wide. Pre-production validation workflows and risk assessments secure both regulatory compliance and agility.
What Is Dataiku Govern
As AI proliferates, it becomes critical to manage who put which model into production, on what basis, and with what risk. Dataiku Govern is a governance and MLOps layer that oversees, approves, and audits ML models and generative AI and agent projects enterprise-wide. With pre-production validation workflows and risk assessments, it secures regulatory compliance and development agility at the same time.
Key Capabilities
Enterprise registry
A central registry for registering and managing models and projects
Sign-off workflows
Standardized approval and validation steps before production deployment
Risk & compliance
Risk assessments and audit trails secure compliance
Drift monitoring
Performance and drift monitoring · central review via the GenAI Registry
Governance Lifecycle
| Stage | Activities |
|---|---|
| Register | Register models and projects in the enterprise registry |
| Assess | Evaluate risk, bias, and regulatory compliance |
| Approve | Pre-deployment sign-off approval workflows |
| Operate | Performance and drift monitoring · audit trails |
What It's Used For
Regulated-industry compliance
AI operations requiring audits and accountability in finance, healthcare, and beyond
AI risk management
Organizational oversight of model risk and bias
GenAI governance
Central review and control extending to generative AI and agents