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Collibra does not publish shadow AI discovery. Its AI registry is populated when someone registers a system, either through an intake form or through a developer CLI that generates manifests from code and syncs them into the registry. Both routes require the AI to be declared by someone who knows it exists. Enzai runs five discovery methods in parallel inside the core platform, covering sanctioned systems and shadow AI, including AI shipped inside tools that were never bought as AI.
Enzai vs Collibra
Collibra is a data catalog company, and AI Command Center governs AI from that foundation. Enzai does nothing but AI governance: six regulatory regimes written by lawyers, five discovery methods, and agent actions blocked before they run.
What is the difference between Enzai and Collibra?
Collibra built the enterprise data catalog. Lineage, metadata, stewardship, business glossary, data quality. AI Command Center sits on that foundation, and its strongest claim is traceability from source dataset through model training, inference and deployment. In data lineage Collibra is very hard to beat.
Enzai does one thing. Finding AI systems, running them through intake, assessing them against compliance frameworks, and keeping agents inside the boundaries set for them. It was founded by lawyers who practiced in this area, and it ships configured, so a compliance officer runs it without learning a platform first.
The gap is what each one treats as the thing being governed. A catalog exists to describe assets and where they came from. A regulator asks a different question: what is this system used for, who is accountable, which obligations attach, and what stops it doing something it should not.
How do Enzai and Collibra compare on capability?
The discovery row is the one to test rather than read. Collibra's registry fills when somebody registers something, through an intake form or a developer CLI. That works for the AI your governance team already knows about, which is not the AI a regulator will ask about. We wrote up how that usually goes in our guide to shadow AI discovery.
Their data lineage is deeper than ours, which counts if what you need is provenance from source dataset to model output.
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When Collibra is the better choice
Your requirement is data lineage, not AI governance
If the question in front of you is which datasets trained which model and where that output traveled, Collibra has been building exactly that for years and does it better than we do. That is a data provenance problem with AI attached rather than an AI governance problem.
You are all-in on Databricks
Collibra is Databricks' Governance Partner of the Year with bi-directional Unity Catalog integration, and its agent trust scoring previews there first. Where Databricks is the whole estate, that integration is real and it is ahead of everyone else.
Who Enzai is best for
You answer to more than the EU AI Act and NIST
Collibra publishes templates for two regulations. Programs get difficult at the third and fourth regime, when ISO 42001 certification comes into scope because a customer asked for it, when GDPR interacts with the AI Act, when Colorado SB 26-189 lands in January 2027, or when a Singapore deployment brings AI Verify into scope. Enzai ships all of those and reuses the same evidence base across them.
Most of your AI estate was bought, not built
A registry filled by intake forms and code manifests assumes AI arrives through engineering. Most of it does not. It arrives through procurement, inside SaaS tools, switched on by a business unit that never filed anything. Enzai finds it and governs it on the same footing as anything built in house.
Agents are acting, not just being scored
Enzai enforces at the action layer on any stack, in production today: unsanctioned tool calls blocked before they execute, autonomy tiered per agent, recursion capped across handoffs, every blocked attempt logged against the agent and its owner. We set out what agentic AI governance has to cover.
The program has to survive contact with the business
Governance tools usually fail on adoption, not capability. Enzai ships with the workflows already configured, so a first program runs on what comes out of the box. Underneath that, forms, approval routing, risk templates and framework logic are all configurable, so a global estate with a dozen business units and conflicting sign-off rules bends the platform to fit instead of the other way round. Enzai includes unlimited users at every tier, and has held ISO 27001 since 2023, audited annually by NQA.
Switching from Collibra
Most organizations moving AI governance off Collibra keep Collibra. The catalog, lineage, data quality and glossary all stay where they are, because that is what it was built for. One workload moves.
The work is exporting the AI use case, model and agent registry and rebuilding assessments against the frameworks in scope. Expect the register to grow substantially on arrival, because discovery finds the AI that was never registered, and in most estates that is the larger half. Data lineage stays in Collibra and links across, so you are not choosing between provenance and governance. SSO through Microsoft Entra and SCIM provisioning keep access tied to the identity groups you already maintain.
One thing worth asking every vendor on your list (including us) is what an export actually contains. Assessment history and supporting evidence, or only the current state of each record? Our compliance frameworks library covers what a register needs to hold.
Sources & verification
References and verification dates supporting the claims made in this comparison.
Collibra AI Command Center product page, accessed 22 August 2026. Framework templates, unified AI registry, AI Trust Score, code-first registration via CLI, and the preview status of Operational Trust for AI Agents with Databricks Agent Bricks.
Collibra AI Governance product documentation, accessed 22 August 2026.
Gartner Peer Insights, AI Governance Platforms, accessed 22 August 2026.
Enzai ISO 27001 certification, held since 2023, audited annually by NQA.
Claims about Collibra come from Collibra's published product pages and documentation on the dates above. Where this page says Collibra does not publish something, that means it was not documented publicly on that date, not that it does not exist. Preview and roadmap items move, so anything described here as in preview should be checked with Collibra directly. Neither company publishes list pricing and this page makes no claim about either. Corrections welcome.
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