Head-to-head · updated 13 September 2026

DataShield vs Collibra: who governs the moment an agent calls the tool?

Collibra has been building the enterprise data catalog since 2008. They're good at it. Business glossary, lineage, data quality, stewardship workflow, an AI Command Center to watch agents. Plus an ISO 42001 badge, earned in the first cohort. Their homepage calls them "the enterprise AI control plane governing context and ensuring control across every source, model and agent." Does your CDO need a governance program that 5,000 people can follow? Buy that.

We sell something smaller, and lower down. DataShield is the checked data plane agents actually query. It's the evidence layer underneath the choice, too. We turn datasets into tokens at intake. Agents query tokens over MCP after that. Turning a token back into real data is a guarded, checked step. We check every tool call against the agent's rights, before it runs. The choice then seals into a hash chain. You can check it. You don't need to trust us. Collibra governs the program. We govern the call. Here is the honest split. It includes the rows they win.

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The short version

Pick DataShield when

Someone will eventually ask you to prove an agent's access log was not edited. An examiner, an auditor, or Article 12 of the EU AI Act. Our chain answers with math, not a policy document. Run the verifier.
You need to pull an agent's rights mid-session. And you want the very next tool call to fail. Not the next token refresh. The next call.
The catalog, the policy engine, and the evidence all have to run on your own gear, on keys you hold.
You want a price before you book a call. And a rollout measured in days, not quarters.

Pick Collibra when

You are standing up a governance program, not a control. Glossary, policy workflow, stewardship roles, data quality, and a screen people outside the data team will actually open.
Your estate is big and mixed. Snowflake, Databricks, Google Cloud, SAP. Collibra has deep partner links in all four. We cover PostgreSQL.
The board wants AI governance paperwork. ISO 42001, an EU AI Act assessment tool, and an AI Pact signature are on the table today. We have none of that.
You need analyst cover for the buy. Two Gartner Magic Quadrant Leader spots and a Forrester Wave Leader ribbon make the sale easier to close.

Bottom line: Collibra tells your firm what the data means and who owns it. DataShield decides what an agent may do with a governed dataset right now. And it keeps proof of that choice. Most buyers who want us already own a catalog. Collibra customers are the most likely of all to own one.

Feature by feature

Competitor cells describe what Collibra's public site and press releases say. We use the date above. If we got something wrong, email support@myorg.ai. We'll fix it and credit you.

What matters	DataShield	Collibra	Edge
Catalog breadth	Real, and narrow. We register a provider over a live connection. We scan it, and profile assets and columns in place. No rows leave the source. That's PostgreSQL today. We've named Snowflake, BigQuery, Databricks, SQL Server, S3, and Salesforce on the roadmap. None has a handler yet.	The core product, and the best part of it. Deep connector coverage, plus native integrations with Snowflake, Databricks, Google Cloud, and SAP. Over 2 billion data assets managed.	◇
Business glossary and stewardship	A glossary, built from entity types on an ISO/IEC 11179 term table. Plus a 29-command stewardship surface, with pattern trust, standing rules, and a blast-radius dry-run. It's built for operators and agents. Not for a business analyst browsing on a Tuesday.	Fifteen years of glossary, policy workflow, roles, and approvals. Plus a screen people outside the data team will open. This is why Collibra wins CDO deals.	◇
Field classification	129 built-in classes cover PII, PHI, money data, and secrets. That includes all 18 HIPAA Safe Harbor identifiers, and eight non-US national ID formats. Regex, plus checksum checks (Luhn, NPI, Verhoeff, ABA, IBAN, GTIN). Column-name lists and anti-pattern filters, too. No model sits in the path. So results repeat exactly, from a config digest. Catalog scans store no column values, by default.	Classification and policy tagging, inside the catalog. The Deasy Labs buy extends it to unstructured content. We couldn't find a public class list, or a repeat-run claim.	◆
Lineage	Typed lineage edges, with a fixed set of terms. Access gates sit at every hop. So a walk can't leak a node you may not read. It comes from the pipelines that own the data. It's not a stored column-level graph.	Automated lineage across the estate, at column level. Plus the visual impact view companies build change processes around. Deeper than ours, by a wide margin.	◇
Audit evidence	A SHA-256 hash chain, with Ed25519-signed checkpoints. Those checkpoints chain too. The check returns one of three verdicts. It names the exact failure. Tampering, insertion, deletion, or truncation. Try the verifier.	AI Command Center gives "real-time signals on ownership, behavior, decisions, and risk." It also traces how choices get made. We found no public tamper-evidence claim.	◆
Agent authorization	Every checked tool call passes a scope gate. It also passes a consented-tool allowlist. It carries an authority tier. We re-check it mid-session, before it goes out. Per-call counts tie back to the agent. The call fails closed.	AI Command Center watches deployed agents. It traces choices, spots drift, and lets you step in before trouble. That's oversight. We found no per-call check point that refuses a tool.	◆
Break-glass	Scoped, time-boxed emergency access for agents. Admin and step-up gated. It revokes itself. No one can quietly wipe it from the log.	Not described in their public docs.	◆
GDPR erasure	We crypto-shred per-subject key material. Plus ISO 27560 consent receipts. Actor names in the chain get HMAC commitments, not real names. The audit trail checks out even after the subject is gone.	Policy, retention, and privacy workflow sit in the platform. The erasure mechanism underneath isn't described.	◆
Tokenization and generalization	Tokens stay the same each time. They keep joins working. The vault can reverse them. We apply them at intake. Plus quasi-identifier generalization, as a rule. Dates become a year, decade, or age band. ZIPs become 3 or 4 digits. Phones, SSNs, and emails get partly masked too. Each column gets its own cut score. Both are switches you turn on, not defaults. Turning a token back into real data is a guarded, tenant-scoped, logged step.	Access policy and masking guidance, through the catalog and the Raito buy. Tokenization isn't a word they use.	◆
MCP and agents	More than 200 MCP tools, across Ontology, Auth, Corpus, and Lighthouse. Auth issues MCP tool tokens with scope ceilings. Handoffs run on RFC 8693 token exchange, with a held ceiling. Agents query the checked data itself, under a choice we log.	A real MCP server, with more than 100 customers. It ships governed metadata and business context to agents, live. It hands over meaning, not the data.	◈
AI governance credentials	Control maps we can point at, in code. HIPAA §164.312(b), 45 CFR §164.514(b), GDPR Art. 17, ISO 27560, RFC 8785. No AI-specific certificate.	ISO 42001 certified, in the first cohort. An EU AI Act assessment tool in the platform. An AI Pact signature, too. Nothing we ship matches this.	◇
Deployment	Self-hosted, in your own cloud or data center. Or a dedicated single-tenant box we run for you. Docker images cover Auth, Ontology, Corpus, and Lighthouse. A signed deploy manifest, checked by Guardian. Ed25519 audit-signing keys stay on your instance. They sit in a key folder you control, with keyed rotation. An unknown key fails closed. KMS or HSM custody is a built seam in Auth. It's not a shipped tie-in yet. HMAC tokenization keys sit in your environment today, or come from your machine key. Never a KMS.	A SaaS-first Data Intelligence Cloud. Large regulated customers have gotten private deployment in the past. No self-hosted or open-source edition, though.	◆
Maturity signals	Auth, Guardian, and Lighthouse are all live and in use. Guardian and Lighthouse have run since April 2026. SOC 2 isn't certified yet. We say so plainly.	Founded in 2008. 78 Fortune 500 customers. Gartner Magic Quadrant Leader, twice. Forrester Wave Leader too. Series G, at a $5.25B value.	◇
Pricing	Published model, scoped instant quote, no sales wall.	Quote only. "Talk to sales" sits on every path. Third-party buyer data puts typical yearly spend in the high five to low six figures. Collibra itself publishes nothing.	◆

◆ DataShield leads◇ Collibra leads◈ comparable

Collibra claims come from collibra.com and their own press releases. Last checked 13 September 2026. We link them below, not just from memory.

Three things you get here that you won't get from an enterprise catalog

Proof that survives an audit

A log you can quietly edit proves nothing. Ours is a hash chain, with signed checkpoints. The verifier tells you what broke, not just that something did. That's what EU AI Act Article 12 and HIPAA §164.312(b) reviewers ask for. Try it in your browser, no signup.

Authority that can change mid-flight

An analyst leaves on a Friday. Their agent is still 20 minutes into a 40-minute job. It doesn't know yet. With DataShield, we re-check the next tool call against current rights. It fails closed. A watching tool shows you the drift on Monday. How Auth does it.

An erasure you can defend

GDPR says delete. Your auditor says keep the log. Crypto-shred settles it. We destroy the subject's key material. The data goes unreadable. The chain still checks out. See the diagram.

Where Collibra is genuinely stronger

Start with the obvious. Collibra has been at this for 18 years. They carry 78 Fortune 500 logos. They manage more than 2 billion data assets. Gartner has named them a Leader in data governance, twice running. Most lately in January 2026. Their connectors, their column-level lineage, and their policy workflow all run deeper than ours. The business-user screen is the part we're least likely to catch. They did the compliance homework early, too. ISO 42001, in the first cohort. An EU AI Act assessment tool. A signature on the EU AI Pact. We have none of that. It would be silly to pretend otherwise. Their MCP server is real too, with over 100 customers. The Deasy Labs buy gave them a strong answer on unstructured content.

Here is the push-back. It's a narrow one. AI Command Center launched in May 2026. It promises "real-time automated control over agentic AI." See what's deployed. Trace how choices get made. Spot drift. Step in before trouble. Read that list again. Every verb is about watching. Nothing in it refuses a tool call, and nothing pulls an agent's rights between one call and the next. Nothing hands an examiner a proof they can check on their own. Gartner expects most bad agent actions through 2028 to be broken policy, not attacks. That's the exact spot where an alert is the weakest answer you can give. Their MCP server draws its own line, and draws it well. It serves context, not the data. Somebody still has to govern the query that comes next. That's the job we took.

Questions worth asking both of us

These are the questions we would want answered if we were the ones buying. Ask them on every call, ours included.

Can you cryptographically prove an audit log entry wasn't deleted?

DataShield: yes, it can. Each record commits to the one right before it. We sign and chain every checkpoint. The check tells deletion apart from truncation and tampering. Run it against a sample chain at /verify. Collibra: their docs describe real-time signals, decision tracing, and drift alerts. We found no public tamper-evidence method. Ask them to show one.

What happens to a revoked agent mid-session?

DataShield checks rights again on each checked tool call. Revocation lands on the next call, not the next token refresh. Collibra's AI Command Center watches agents, and lets you step in. We couldn't find a mid-session revocation method in their public docs. Ask how long a compromised agent keeps working, after you pull its access.

How does GDPR erasure interact with the audit trail?

DataShield crypto-shreds per-subject key material. Then it issues an ISO 27560 consent receipt. Actor names in the chain get HMAC commitments, not real names. The evidence checks out even after the subject is gone. Collibra carries retention and privacy policy in the platform. What happens to the data, and to the audit trail, isn't spelled out in public. Ask for the mechanism, not the workflow.

Is DataShield a replacement for a Collibra data catalog?

For most companies, no. We have a real catalog. Providers over live connections. In-place scan and profiling, with no row egress. A built glossary. Typed lineage and stewardship queues. But that's PostgreSQL today. Our glossary isn't the thing a business analyst opens. Have a 40-source estate and a governance program to run? Buy Collibra. Run us for the datasets agents actually touch. Are you a smaller regulated team, where the agent problem showed up before the program did? Start here.

Collibra ships an MCP server too. What's different?

Theirs hands agents governed metadata and business context, live. That's a sound design for a catalog. Ours is where the data itself gets queried. The tool token carries a scope ceiling. The call gets checked before it goes out. The choice seals into the chain. Different jobs. Want an agent to ask what a column means? Use theirs. Want an agent to read the column under a policy you can later prove? Use ours.

Collibra has ISO 42001. What do you have?

Less paper, more proof. We're not SOC 2 certified. We won't hint we are. We hold no AI management-system certificate, either. What we hold is a set of controls, mapped to text you can read. HIPAA §164.312(b) for the audit chain. 45 CFR §164.514(b) for the Safe Harbor classifiers and the PHI call. GDPR Article 17 for crypto-shred. Auth is live and in use. Guardian and Lighthouse have run since April 2026. Design-partner terms include source escrow. That way, a small vendor isn't a single point of failure. Details on the security page.

Collibra's current positioning: "Governed context. Certain AI." And: "the enterprise AI control plane governing context and ensuring control across every source, model and agent." Homepage stats: 78 Fortune 500 customers. More than 2 billion data assets managed. - collibra.com, 13 Sep 2026
AI Command Center: "real-time automated control over agentic AI." A single control plane to see, watch, and control AI systems and agents. It includes decision tracing, drift detection, and intervention. - Collibra newsroom, 6 May 2026
Collibra's MCP Server delivers governed metadata and business context to agents, live. More than 100 customers use it. - Collibra newsroom, 6 May 2026
ISO 42001 certification for AI governance, in the first cohort. An EU AI Act Assessment Tool in the platform. A signature on the European Commission's AI Pact. - Collibra newsroom, 22 Jan 2025
They bought Raito for data access governance. Their own words: "manage and control access to accelerate secure data consumption across users and AI agents." - Collibra newsroom, 5 Jun 2025
Named a Leader in the Gartner Magic Quadrant for Data and Analytics Governance Platforms. Second year running. - Collibra newsroom, 28 Jan 2026

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