Collibra has announced the launch of its AI Command Center, a pioneering solution designed to provide real-time automated control over agentic AI. Launched on May 6, 2026, the platform represents a strategic move from passive AI oversight to active lifecycle management. Alongside a new partnership with AI startup Giskard, Collibra aims to help enterprises mitigate the "hallucination tax"—the operational costs associated with manual oversight and risk—as organizations increasingly deploy autonomous agents into production environments.
Collibra launches the AI Command Center to manage the shift from generative outputs to agentic outcomes.
A strategic partnership with Giskard integrates execution-layer testing into the governance control plane.
New assessment templates align with AI UC-1 (Artificial Intelligence Unified Controls) compliance standards.
The Collibra MCP Server delivers governed metadata and business context to agents in real time.
Research indicates 91% of tech decision-makers are rolling out agentic AI, yet only 48% have established governance.
The platform provides visibility into ownership, behavior, and drift to prevent risk exposure.
As AI systems transition from suggesting answers to taking autonomous actions, the risks associated with these workflows escalate. The AI Command Center serves as a unified control plane, allowing teams to monitor deployed agents, trace decision-making processes, and intervene before potential exposures become incidents. This real-time oversight is designed to close the "accountability gap" often found in rapidly scaling AI environments.
"We are entering the era of agentic AI, where systems don't just suggest answers, they take actions," said Felix Van de Maele, co-founder and CEO of Collibra. "The AI Command Center eliminates that tax. It gives organizations real-time visibility, continuous control, and the confidence to run AI at the pace it operates."
The partnership with Giskard bridges top-down governance with bottom-up testing directly within the CI/CD pipelines of AI engineers. This ensures that validation occurs at the execution layer, where AI risks are most prevalent. Furthermore, Collibra's adoption of AI UC-1 standards provides a defensible framework for evaluating agent reliability and accountability, moving beyond theoretical principles to measurable trust signals.
"Enterprise AI leaders need both top-down governance on how agents are built, and bottom-up tests that operationalize this governance directly inside the CI/CD pipelines of AI engineers," said Alex Combessie, Co-CEO and Co-founder of Giskard. "That's exactly what Giskard and Collibra now deliver together."
To function effectively, agents require high-quality context. Collibra’s Model Context Protocol (MCP) Server addresses this by delivering governed metadata directly to agents. This ensures that autonomous systems operate on trusted data, turning governance into an enabler of innovation rather than a bottleneck. Over 100 customers are already utilizing the MCP Server to power context-aware AI systems, marking its strong position in ecosystems like the Databricks Marketplace.
About Collibra
Collibra helps our customers accelerate data and AI use cases — without the risk. Our powerful, unified platform brings flexible governance and continuous quality with automated visibility, control and traceability to the world's leading brands. Collibra unifies governance for data and AI for every user, every use case and across every source so that everyone in the organization can trust, comply and consume their data at scale. This is Data Confidence.
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