AI Governance
AI Governance

Deliver reliable, traceable and compliant AI across your organization

Collibra AI Governance helps organizations build AI with confidence. Govern use cases, models and agents with full visibility, trusted data, automated documentation and built-in compliance—so teams can scale AI safely, responsibly and with measurable impact.

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Key features
and capabilities

Collibra AI Governance unifies AI, data and risk teams around a shared system of record for all AI initiatives. Collibra guides use-case documentation, model and agent governance and intelligent data recommendations to scale AI with clarity and accountability.

Increase AI reliability and streamline the AI lifecycle

Accelerate projects by ensuring every AI initiative starts with clarity and trusted data. Collibra centralizes AI use case intake, documentation, ownership and workflows—reducing friction and aligning teams from day one.

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Ensure AI traceability from data to agent

Gain end-to-end visibility across data, models, agents and decisions. Collibra captures lineage from source datasets through model training, inference, deployment and usage—no matter the platform. With model and agent registries and automatic stitching of data relationships, teams can audit AI activities and understand impacts instantly.

See it in action How to be an AI Governance champion

Systematize AI compliance to mitigate risks

Reduce risk with policy-driven governance and built-in assessments aligned to the EU AI Act, NIST AI RMF and internal standards. Collibra streamlines compliance workflows, assigns risk ratings and engages stakeholders to ensure accountability and keep AI audit-ready seamlessly as it scales.

See the EU AI Act in action See NIST in action

One place to track and govern AI models and agents

Manage every stage of your AI assets lifecycle with transparency, ownership and policy alignment—ensuring consistency, auditability and compliance from development to deployment.

Collibra AI agent registry

  • AI model integrations

    Govern every AI use case and model (across AWS, Azure, Google, Databricks, SAP and MLflow) from a single system of record—ensuring consistent oversight, traceability and compliance across clouds and platforms.

  • Automated traceability for Azure AI Foundry

    Stitch datasets, models, agents and use cases in Azure AI Foundry, automating lineage, lifecycle tracking and dataset matching to reduce risk and save time.

  • Data recommender

    Eliminate manual data hunting by delivering proactive, AI-driven recommendations of the most relevant, governed data products, freeing scientists and engineers from browsing catalogs or stitching datasets.

Learn how to turn AI ambition into AI value

Featured blog post

Collibra blog

AI governance: Today’s engine of acceleration

In today’s AI-everywhere world, the right governance approach can be an engine of acceleration. While everyone’s racing to deploy the latest AI capabilities, the smartest organizations are quietly building something more valuable: a foundation for scaling AI safely and effectively. And that foundation is AI governance.

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Featured resource

Ebook

How to govern AI agents at scale: The pitfalls, promises and the future of work in the age of agentic AI

Agentic AI is widening the chasm between what companies need to do with data and what they realistically can do with it. Organizations that build a scalable and effective governance foundation now will accelerate data use cases and achieve faster, better AI outcomes. Our ebook reveals how to govern AI agents at scale, addressing the pitfalls that keep data leaders awake at night while establishing governance that balances innovation with accountability. Discover a practical framework that creates Data Confidence®—without sacrificing speed.

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Featured resource

Whitepaper

Collibra AI Governance: Your competitive advantage for AI use cases

Today, the technological advances in artificial intelligence (AI) are primed to disrupt economic, social and political systems around the world. Collibra AI Governance offers a critical competitive advantage to ensure that your AI roadmap is implemented responsibly, maintaining the trust and integrity essential for long-term success.

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Featured resource

Workbook

The key to AI readiness in the generative AI era: A practical workbook to achieving organizational AI literacy

Most organizations claim they want AI literacy, but few build it effectively. This hands-on workbook moves beyond theoretical governance to practical implementation with role-specific learning paths, use case workshops and compliance-ready frameworks. Through guided self-assessments and cross-functional exercises, it transforms siloed AI experiments into cohesive organizational capabilities. Build executive buy-in, establish clear oversight structures and create a 90-day roadmap that meets EU AI Act requirements while accelerating real business impact.

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Learn. Grow. Be inspired.

From expert insights to guided learning paths and in-depth product resources, we make it easy for every Data Citizen to use data.

Consistently recognized as a leader, setting the standard for what’s next

Gartner® Magic Quadrant™ for Data and Analytics Governance Platforms

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Collibra recognized as a Leader in The Forrester Wave™: Enterprise Data Catalogs, Q3 2024

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Frequently asked questions

What is AI governance and why is it important?

AI governance is the set of frameworks, processes and controls that ensure AI is developed, deployed and monitored responsibly. It helps organizations manage key risks, including unclear ownership, missing use case documentation, poor traceability, data quality issues, model bias, regulatory non-compliance and inconsistent practices across teams.

With increasing regulatory expectations—including emerging global standards and the EU AI Act—organizations need a structured way to assess and monitor AI use cases, document decisions, assign ownership and ensure the data powering AI is trusted. Collibra AI Governance provides a system of record that unites data, AI and risk teams so they can scale AI safely while accelerating value and reducing operational friction.

Can Collibra govern AI built on different platforms?

Yes. Collibra is designed to be platform-agnostic. Whether models are developed in AWS Bedrock, AWS SageMaker, Azure AI Foundry, Azure ML, Databricks Unity Catalog, Google Vertex AI, MLflow and SAP AI Core or custom environments, Collibra centralizes visibility and governance across all of them. Model and agent registries standardize documentation and ownership, while integrations enable lineage, metadata capture and risk assessment—ensuring every AI asset, regardless of origin, follows the same governance standards.

How does Collibra support AI regulatory compliance?

Collibra systematizes compliance by embedding regulatory frameworks and internal policies directly into AI workflows. With templates for the EU AI Act, NIST AI RMF and custom assessments, teams can document risk levels, controls, performance metrics and required approvals. Automated workflows ensure the right experts review each use case, while lineage and evidence management streamline audits. This reduces manual effort and ensures consistent, repeatable compliance across all AI initiatives.

How does Collibra improve data quality for AI?

AI is only as reliable as the data that powers it. Collibra ensures AI initiatives begin with trusted, well-understood data by recommending high-quality, governed data products. Teams can trace sources, check quality rules and confirm privacy requirements before using data in training or inference. Combined with lineage and policy controls, this ensures AI models and agents operate on complete, accurate and compliant data, reducing downstream risks and ensuring more reliable outcomes.

The road to Data Confidence™. Get started today.