Collibra AI Governance
AI governance platform for compliant, trusted AI
Last verified April 23, 2026Quick facts: Collibra AI Governance is an AI compliance vendor founded in 2008 and headquartered in New York, United States. The vendor publicly documents coverage for ISO/IEC 42001, EU AI Act, and NIST AI RMF. Pricing is available on request. Profile last verified April 23, 2026, with every claim traceable to a cited public source.
About Collibra AI Governance
Collibra AI Governance is a platform that centralizes management of AI use cases, models, and agents with full visibility, trusted data, automated documentation, and built-in compliance features. It supports teams in scaling AI responsibly by providing end-to-end lineage from source data through model training, inference, deployment, and usage across platforms like AWS, Azure, Google, Databricks, SAP, and MLflow. The solution facilitates risk assessment using templates for EU AI Act and NIST AI RMF, policy enforcement, model registries, and ongoing monitoring to ensure audit-readiness and regulatory adherence, particularly for regulated industries such as financial services and healthcare. Distinct from narrower tools, it integrates data governance with AI oversight in a unified system of record, enabling cross-team collaboration between AI, data, and risk functions while recommending governed data products to reduce risks from poor data quality or bias.
Featured in
Collibra AI Governance is ranked in the following independent collections.
Frameworks supported
Regulations and voluntary standards Collibra AI Governance documents support for on their own materials. Chip shading reflects the strength of the claim, not an independent audit.
Voluntary standard · Global · voluntary
Regulation · EU · in force
Voluntary standard · US · voluntary
Collibra AI Governance features
Capabilities Collibra AI Governance markets publicly. Inclusion means the feature is documented on the vendor's site — not that it's best-in-class. Last verified April 23, 2026.
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.
Bias & Fairness Testing
Automated statistical testing for disparate impact across protected attributes, with audit-ready reports.
Audit Evidence Collection
Automated collection, hashing, and retention of evidence (model cards, test results, approvals) for audit.
Model Monitoring
Production monitoring for performance, drift, data quality, and fairness regressions.
Industries served
Integrations
Documented by Collibra AI Governance in public product materials.
- AWS SageMaker
- Azure ML
- Google Vertex AI
- Databricks
- Snowflake
- MLflow
- ServiceNow
- Slack
- Jira
Collibra AI Governance pricing
Enterprise subscription; contact sales for custom quote based on users, assets, modules.
Frequently asked
What is Collibra AI Governance?+
Collibra AI Governance is a AI governance platform headquartered in New York, United States, founded in 2008. Profile last verified April 23, 2026.
How much does Collibra AI Governance cost?+
Collibra AI Governance does not publish pricing. Enterprise subscription; contact sales for custom quote based on users, assets, modules.. Verified April 23, 2026.
Which AI compliance frameworks does Collibra AI Governance support?+
Collibra AI Governance documents support for ISO/IEC 42001, EU AI Act, and NIST AI RMF in its public materials. Coverage strength varies — see the framework chips above.
What does Collibra AI Governance integrate with?+
Collibra AI Governance publicly documents integrations with AWS SageMaker, Azure ML, Google Vertex AI, and Databricks, and 5 more. See the integrations list above for the full set.
Who is Collibra AI Governance for?+
Collibra AI Governance markets to Financial Services, Healthcare, and Insurance teams and other regulated industries. Match it against your specific framework and integration requirements before committing.
Sources
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