Dataiku Govern
Track and manage data and AI initiatives across the organization in a single place.
Governance built- in from the start — not added on top
Reduce the risk of shadow AI
Centralize work from across your organization to see all AI projects in one single place.
Accelerate regulatory compliance
Get a head start on EU AI Act compliance, or other emerging AI regulations with pre-build Dataiku solutions.
Ensure audit readiness
Respond to all questions with a robust audit timeline for a view of who has done what, when, and on which projects.
Simplify monitoring and improve reusability
Dataiku Govern acts as a one-stop shop with specific registries towards different assets. Three specialized registries include: the bundle registry, model registry, and LLM registry. Together, they form a unified ecosystem for tracking and governing AI initiatives, fostering both performance optimization and regulatory compliance.
Apply consistent qualification of data and AI projects
Assess AI project value and risk with consistent qualification aligned to your AI principles and regulatory requirements. Dataiku Govern allows you to choose when to apply control and when it’s appropriate to allow autonomy.
Establish governance workflows
Assign stakeholders, capture notes, and attach relevant documentation to each stage of a workflow to ensure the process is documented and tracked, from design to delivery.
Reduce risk with signoff rules
Enforce approval processes, policy checks, and sign-offs aligned to your governance standards blocking deployment until requirements are met.
Ensure timelines with alerts
Set up automatic notifications for requesters and other users of mission-critical governance topics, including when signoff is completed, to ensure efficiency.
LLM Guard Services
Standardize agent performance and alignment checks across use cases to maintain reliability and trust.
GenAIOps
Build, deploy, and monitor generative AI applications with full visibility and control.
Data governance
Establish enterprise-wide controls over every AI asset, from data pipelines to deployed models.