Collibra Unveils AI Command Center to Govern Agentic AI at Scale

New updates have been reported about Collibra.

Collibra has launched an AI Command Center designed to give enterprises real-time, automated oversight of agentic AI systems, positioning the company at the center of emerging efforts to control AI that can independently take actions. Paired with a new strategic partnership with AI testing startup Giskard and alignment with AI UC-1 compliance standards, the platform is intended to move customers from manual, reactive supervision to continuous lifecycle management of AI agents across production environments.

The AI Command Center functions as a unified control plane, allowing organizations to inventory deployed agents, monitor behavior and decision paths, detect drift, and intervene before governance or security failures escalate into incidents. Collibra reports that more than 40 large enterprises participated in a private preview, underscoring demand for centralized oversight as a recent Collibra/Harris Poll survey showed most organizations are rolling out agentic AI while fewer than half have robust governance policies, a gap that exposes them to operational and regulatory risk.

Through its integration with Giskard, Collibra is linking top-down governance policies with bottom-up testing embedded directly in AI engineering CI/CD pipelines, enabling continuous validation of model behavior and agent performance as part of normal deployment workflows. The new out-of-the-box assessment templates, aligned to AI UC-1 standards, give enterprises a defensible framework to score agents on risk, compliance readiness, and operational fitness, which is likely to be important for regulators, auditors, and risk committees as AI usage intensifies.

Collibra is also expanding its role in delivering governed context to AI agents through its MCP Server, which streams trusted metadata and business context into AI workflows in real time so that agents act on curated, policy-compliant information rather than uncontrolled data sources. The company says more than 100 customers already use MCP Server for context-aware AI, contributing to its strong performance on the Databricks Marketplace and reinforcing Collibra’s strategic shift from traditional data governance into an end-to-end control layer for enterprise AI.

Customer feedback, including from industrial company Weir Group, highlights that Collibra’s combined oversight and context capabilities enable organizations to scale agent-led initiatives while maintaining control over data quality, compliance obligations, and operational risk. With participation as a launch partner in the Agent Bricks ecosystem and planned demonstrations at the Databricks Data + AI Summit, Collibra is signaling its intent to be a core infrastructure provider for enterprises seeking to industrialize agentic AI, which may support future revenue growth and deepen its embedded position in customers’ data and AI stacks.