Collibra AI Governance
Improve AI model effectiveness and reduce data risk
Catalog, assess and monitor any AI use case for improved AI model performance and reduced data risk.
Catalog AI use cases and validate data
Drive more valuable AI by cataloging AI use cases with out-of-the-box model cards and continuously validating the reliability of underlying data.
Collaborate across your organization
Drive more compliant AI with automated workflows, integrations to Google Vertex AI and visibility into data provenance and health.
Mitigate data risk and protect data
Drive more responsible AI by discovering sensitive data classes and enforcing data access policies for greater control.
Balance customization with automation
Customize workflows and enforce policies to control your AI use cases for your needs.
Ensure legal, ethical and regulatory checks
Increase visibility into data lineage and data health by tracking changes to AI models and the data that feed them.
Catalog AI use cases
Improve the value of AI use cases by registering and connecting them to underlying data, and then continuously validating the reliability of that data.
Govern AI across its entire lifecycle
Evan Loenser
Associate Director of Enterprise Data and Reporting at UCare Minnesota
Frequently asked questions
Learn more about AI governance
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