Collibra agentic AI governance
The transition to agentic AI introduces new governance challenges, but it doesn't require starting from scratch. The Collibra Platform provides a foundation that can be extended to address the unique requirements of AI agents.
Unified governance for data and AIAgentic AI sits at the intersection of data and AI governance, touching both but fitting neatly into neither. Effective governance requires visibility, context and control throughout the full agent lifecycle.
Our approach to unified governance creates a foundation for agentic AI by:
Connecting data and AI artifacts in a comprehensive governance framework
Providing visibility across siloed systems where agents operate
Maintaining lineage from data inputs through agent actions
Supporting business context that makes agent operations understandable
Enabling consistent policy application across both data and AI systems
This unified approach addresses one of the core challenges of agentic governance: the fragmentation that occurs when data governance and AI governance operate independently.
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Agentic AI key capabilities The Collibra Platform offers specificcapabilities that address the governancepitfalls we've identified:
For shadow AI
Agent registry to catalogdeployments across the organization
Discovery capabilities to identify undocumented agents
Workflow automation to streamlinegovernance processes
For data access and policy gaps
Centralized policy managementfor consistent application
Access visibility across agent operations
Data classification to identify sensitive assets
For human oversight challenges
Responsibility assignment and tracking
Approval workflows with appropriate context
Documentation of decision factors
For regulatory misalignment
Regulatory obligation mappingto agent capabilities
Evidence collection forcompliance demonstration
Change management for evolving requirements
For missing explainability
Business glossary for consistent terminology
Lineage visualization from data to outcomes
Context enrichment for technical processes
By leveraging these capabilities, your organization can establish governance that grows with your agentic AI deployment—from initial experiments to enterprise-wide implementation.
