AI Command Center
AI Command Center

The end-to-end control plane for AI

Collibra AI Command Center helps enterprises manage and control every AI agent and system across the full AI lifecycle — delivering near real-time visibility, trust signals and built-in compliance, so teams can scale AI safely with measurable impact.

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With AI agents taking real action across systems, Collibra’s AI Command Center will give Weir Group the foundation to scale agent‑led innovation confidently by combining real‑time oversight with the freedom for teams to build and deploy responsibly... By integrating MCP Server, AI agents can operate directly on trusted data and context, turning governance into an enabler of faster, safer agent‑led innovation.

Robin Sinclair

Robin Sinclair

Robin Sinclair

Data Governance Product Owner, The Weir Group

New in Collibra:

AI Command Center

As AI agents move from generating content to triggering decisions and actions, organizations need more than periodic reviews. AI Command Center delivers a unified control plane—bringing every agent, model, and use case into a single governed view with continuous trust signals, automated traceability and proactive risk intervention.

Keep agents in control with guardian agents

Continuously supervise how agents behave and intervene when they cross defined boundaries. Guardian agents automate oversight and enforcement in real time, stopping risky actions before they reach the business while focusing teams on exceptions.

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Set fleet-wide rules with agent contracts

Set consistent rules for agent behavior across your entire fleet. Agent contracts turn enterprise policies into machine-readable controls, applying the right requirements to every agent while scaling control without scaling complexity.

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Operational Trust for AI Agents

Continuously measure trust across your AI agent fleet by turning live production signals into dynamic AI Trust Scores. Monitor pass rates and coverage gaps, and detect trust degradation as it happens—across Databricks, Microsoft Foundry, AWS Bedrock, Gemini.

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AI UC-1 assessment templates, ready to run

Run agentic AI compliance assessments out of the box with templates aligned to the emerging AI UC-1 standard—no custom framework required. Available May 2026 alongside EU AI Act and NIST AI RMF templates, so teams can document controls, evidence and approvals in one consistent flow.

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One unified registry for every AI asset

Manage every AI use case, model and agent in a single centralized system of record. Track assets across their full lifecycle, connect them to the data, policies and use cases they depend on, and keep teams aligned around one trusted source of truth—from development to production.

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AI Trust Score: one signal per system

Assess AI readiness, risk and compliance at a glance with a universal score per system. Aggregate documentation, data integrity, lifecycle status and regulatory signals into a single metric. Surface trust degradation early and approve, stage, remediate or retire AI systems with confidence.

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Live AI governance dashboards for leadership

Get real-time visibility across every AI use case, model and agent—and turn governance signals into business outcomes. Track lifecycle status, monitor risk concentrations and connect Trust Scores to operational impact, so leaders make informed decisions on AI investment, exposure and execution.

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Code-first AI registration via CLI

Capture AI use cases directly from code through a developer CLI, generating structured manifests and syncing models, versions, and metadata into the unified registry without manual intake forms. Embed governance where execution happens, so AI engineers move fast without bypassing oversight.

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Before you scale, score. You can't command what you can't count.

Most enterprises can't answer the board's simplest question: what AI is running and who owns it? Twelve questions, five minutes, one honest number. See whether you're fragmented, aware, or leading — and exactly where to fix first.

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Scaling AI with

clarity and control

Collibra AI Governance unifies AI, data and risk teams around a shared system of record for all AI initiatives. Collibra guides use-case documentation, model and agent governance and intelligent data recommendations to scale AI with clarity and accountability.

Increase AI reliability and streamline the AI lifecycle

Accelerate projects by ensuring every AI initiative starts with clarity and trusted data. Collibra centralizes AI use case intake, documentation, ownership and workflows—reducing friction and aligning teams from day one.

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Ensure AI traceability from data to agent

Gain end-to-end visibility across data, models, agents and decisions. Collibra captures lineage from source datasets through model training, inference, deployment and usage—no matter the platform. With model and agent registries and automatic stitching of data relationships, teams can audit AI activities and understand impacts instantly.

See it in actionHow to be an AI Governance champion

Systematize AI compliance to mitigate risks

Reduce risk with policy-driven governance and built-in assessments aligned to the EU AI Act, NIST AI RMF and internal standards. Collibra streamlines compliance workflows, assigns risk ratings and engages stakeholders to ensure accountability and keep AI audit-ready seamlessly as it scales.

See the EU AI Act in actionSee NIST in action

  • AI model integrations

    Govern every AI use case and model (across AWS, Azure, Google, Databricks, SAP, and MLflow) from a single system of record—ensuring consistent oversight, traceability and compliance across clouds and platforms.

  • Automated traceability for Azure AI Foundry

    Stitch datasets, models agents and use cases in Azure AI Foundry, automating lineage, lifecycle tracking and dataset matching to reduce risk and save time.

  • Data recommender

    Eliminate manual data hunting by delivering proactive, AI-driven recommendations of the most relevant, governed data products, freeing scientists and engineers from browsing catalogs or stitching datasets.

Learn how to turn AI ambition into AI value

Blog

AI governance blogs

Everything about Collibra AI governance

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Featured resource

Ebook

How to govern AI agents at scale: The pitfalls, promises and the future of work in the age of agentic AI

Agentic AI is widening the chasm between what companies need to do with data and what they realistically can do with it. Organizations that build a scalable and effective governance foundation now will accelerate data use cases and achieve faster, better AI outcomes. Our ebook reveals how to govern AI agents at scale, addressing the pitfalls that keep data leaders awake at night while establishing governance that balances innovation with accountability. Discover a practical framework that creates Data Confidence®—without sacrificing speed.

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Featured resource

Whitepaper

Collibra AI Governance: Your competitive advantage for AI use cases

Today, the technological advances in artificial intelligence (AI) are primed to disrupt economic, social and political systems around the world. Collibra AI Governance offers a critical competitive advantage to ensure that your AI roadmap is implemented responsibly, maintaining the trust and integrity essential for long-term success.

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Featured resource

Workbook

The key to AI readiness in the generative AI era: A practical workbook to achieving organizational AI literacy

Most organizations claim they want AI literacy, but few build it effectively. This hands-on workbook moves beyond theoretical governance to practical implementation with role-specific learning paths, use case workshops and compliance-ready frameworks. Through guided self-assessments and cross-functional exercises, it transforms siloed AI experiments into cohesive organizational capabilities. Build executive buy-in, establish clear oversight structures and create a 90-day roadmap that meets EU AI Act requirements while accelerating real business impact.

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Learn. Grow. Be inspired.

From expert insights to guided learning paths and in-depth product resources, we make it easy for every Data Citizen to use data.

Consistently recognized as a leader, setting the standard for what’s next

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Frequently asked questions

What is AI governance and why is it important?

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.

With increasing regulatory expectations—including emerging global standards and the EU AI Act—organizations need a structured way to assess and monitor AI use cases, document decisions, assign ownership and ensure the data powering AI is trusted. Collibra AI Governance provides a system of record that unites data, AI and risk teams so they can scale AI safely while accelerating value and reducing operational friction.

Can Collibra govern AI built on different platforms?

Yes. Collibra is designed to be platform-agnostic. Whether models are developed in AWS Bedrock, AWS SageMaker, Azure AI Foundry, Azure ML, Databricks Unity Catalog, Google Vertex AI, MLflow and SAP AI Core or custom environments, Collibra centralizes visibility and governance across all of them. Model and agent registries standardize documentation and ownership, while integrations enable lineage, metadata capture and risk assessment—ensuring every AI asset, regardless of origin, follows the same governance standards.

How does Collibra support AI regulatory compliance?

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. Automated workflows ensure the right experts review each use case, while lineage and evidence management streamline audits. This reduces manual effort and ensures consistent, repeatable compliance across all AI initiatives.

How does Collibra improve data quality for AI?

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. Teams can trace sources, check quality rules and confirm privacy requirements before using data in training or inference. Combined with lineage and policy controls, this ensures AI models and agents operate on complete, accurate and compliant data, reducing downstream risks and ensuring more reliable outcomes.

The road to Data Confidence™ starts here.