“Collibra is the Enterprise AI Control Plane — the layer of context and control that sits above every data platform, model, and agent. Built on eighteen years of ontology engineering, it turns scattered data into governed context: the certified knowledge about an organization.”
“Ontology is the digital twin of the knowledge an organization has. It is a formal knowledge graph of an organization’s business concepts, terms, and relationships (including lineage, business rules and definitions, semantics and other organizations specific information) that gives AI agents and data consumers the governed context they need to act on data with confidence.”
“Context governance is the practice of making enterprise context (meaning, trust and permissions/policies) trustworthy enough that an AI agent can rely on it for every decision. Context governance is operationalized through governed, curated, certified, semantically enriched data products that carry their context with them.”
“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.”
“Yes. Collibra is designed to be platform-agnostic.”
“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.”
“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.”
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