Collibra expands its integration with Snowflake to embed governed business context, semantic models, and policy controls into the Snowflake AI Data Cloud, positioning Collibra as a central governance layer for production-scale agentic AI.

Automated traceability ensures Snowflake's technical metadata and lineage are continuously reflected in Collibra, supported by Collibra's AI Command Center for trust signals and end-to-end traceability.

Bi-directional integration synchronizes Collibra-governed metadata, definitions, ownership, and policies into Snowflake Horizon Catalog, Cortex Analyst, and Cortex Agents, while Snowflake’s technical metadata and lineage flow back into Collibra for end-to-end traceability.

The integration aims to scale agentic AI from experimentation to production with regulatory compliance, model risk management, and data trust, with preview available to selected customers and broader availability planned for the third quarter of 2026.

The collaboration supports scalable, production-grade agentic AI with regulatory compliance and model risk management baked in, enabling faster paths from experimentation to production.

The integration aligns semantic models with the Open Semantic Interchange standard and provisions fine-grained access controls to reduce over-privileged access, aiding compliance reporting and scalable agentic AI with stronger regulatory, risk, and trust safeguards.

Attendees of Snowflake Summit 2026 can see live demonstrations at Collibra Booth #1008, with opportunities to request access through Collibra or Snowflake account teams.

A live demonstration of Snowflake Horizon Catalog, Cortex Analyst, and Cortex Agents grounded in Collibra’s governed business context will be available at Collibra’s booth (#1008) during the Snowflake Data Cloud Summit 2026.

Attendees can see demos at Snowflake Data Cloud Summit 2026 in Collibra Booth #1008 and learn more about the partnership via Collibra and Snowflake resources.

Snowflake executives view the collaboration as a path to faster, trusted AI at production scale by grounding queries and agent behavior in consistent business semantics rather than ad hoc context.

Governance enhancements include policy enrichment, auto-access controls, and automated traceability to maintain in-sync enterprise-wide security and compliance.

The expansion was unveiled at Snowflake Summit 26 and aims to help customers transition from AI experimentation to production with grounded, policy-aligned AI outputs and improved regulatory compliance.