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, and they are good at it. Business glossary, lineage, data quality, stewardship workflow, an AI Command Center to watch agents, and an ISO 42001 badge they 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." If your CDO needs a governance program that 5,000 people can follow, buy that.

We sell something smaller, and lower down. DataShield is the governed data plane agents actually query, and the evidence layer underneath the decision. Datasets are tokenized at ingest; agents query tokenized data over MCP; detokenization is a privileged, audited operation. Every governed tool call is checked against the agent's authority before it runs. The decision is then sealed into a hash chain you can check without trusting us. Collibra governs the program. We govern the call. Here is the honest split, rows they win included.

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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 rather than a policy document. Run the verifier.
You need to pull an agent's authority mid-session and have the very next tool call fail. Not the next token refresh. The next call.
The catalog, the policy engine, and the evidence all have to run on your own infrastructure, on keys you hold.
You want a price before you book a call, and a deployment measured in days rather than quarters.

Pick Collibra when

You are standing up a governance program, not a control. Glossary, policy workflow, stewardship roles, data quality, and a business-user interface that people outside the data team will actually open.
Your estate is big and mixed. Snowflake, Databricks, Google Cloud, SAP. Collibra has deep partner integrations in all four, and 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 purchase. Two Gartner Magic Quadrant Leader placements and a Forrester Wave Leader ribbon make the procurement conversation shorter.

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 keeps proof of the decision. 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 as of the date above. If we have mischaracterised something, email support@myorg.ai and we will correct it, credited.

What matters	DataShield	Collibra	Edge
Catalog breadth	Real, and narrow. We register a provider over a live connection, scan it, and profile assets and columns in place with no rows leaving the source. That is PostgreSQL today. Snowflake, BigQuery, Databricks, SQL Server, S3 and Salesforce are declared on the roadmap with no handler yet.	The core product and the best part of it. Deep connector coverage plus native integrations with Snowflake, Databricks, Google Cloud and SAP, and over 2 billion data assets managed.	◇
Business glossary and stewardship	A glossary materialized from entity types on an ISO/IEC 11179 term table, and a 29-command stewardship surface with pattern trust, standing disposition rules and blast-radius dry-run. It is built for operators and agents, not for a business analyst browsing on a Tuesday.	Fifteen years of glossary, policy workflow, roles and approvals, with a business-user interface people outside the data team will open. This is why Collibra wins CDO deals.	◇
Field classification	129 built-in classes covering PII, PHI, financial data and secrets, including all 18 HIPAA Safe Harbor identifiers and eight non-US national ID formats. Regex plus checksum validation (Luhn, NPI, Verhoeff, ABA, IBAN, GTIN), column-name lexicons and anti-pattern suppressors. No model, so verdicts are reproducible from a config digest. Catalog scans store no column values by default.	Classification and policy tagging inside the catalog, extended to unstructured content by the Deasy Labs acquisition. We could not find a published class list or a reproducibility claim.	◆
Lineage	Typed lineage edges with a fixed predicate vocabulary and access gating at every hop, so a traversal cannot leak a node you may not read. It is derived from the pipelines that own the data, not a stored column-level graph.	Automated lineage across the estate, at column level, with the visual impact analysis enterprises build change processes around. Deeper than ours by a distance.	◇
Audit evidence	SHA-256 hash chain with Ed25519-signed checkpoints that are themselves chained. Verification returns a three-valued verdict and names the failure: tampering, insertion, deletion, or truncation. Try the verifier.	AI Command Center gives "real-time signals on ownership, behavior, decisions, and risk" and traces how decisions are made. We found no published cryptographic tamper evidence.	◆
Agent authorization	Every governed tool call passes a scope gate, a consented-tool allowlist, an authority tier and a mid-session revocation re-check before dispatch, with per-call metering attributed to the agent. The call fails closed.	AI Command Center monitors deployed agents, traces decisions, detects drift and lets you intervene before incidents. That is oversight. We found no per-call decision point that refuses a tool.	◆
Break-glass	Scoped, time-boxed emergency access for agents, admin and step-up gated, auto-revoking, and it cannot be quietly deleted from the log.	Not described in their public material.	◆
GDPR erasure	Crypto-shred of per-subject key material plus ISO 27560 consent receipts. Actor identities in the chain are HMAC-committed, so the audit trail still verifies once the subject is gone.	Policy, retention and privacy workflow sit in the platform. The underlying erasure mechanism is not described.	◆
Tokenization and generalization	Deterministic, join-preserving, vault-reversible tokens applied at ingest, plus quasi-identifier generalization (dates to year, decade or age band; ZIPs to 3 or 4 digits; partial phones, SSNs and emails) with a measured cardinality-reduction score per column. Both are switches you turn on, not defaults. Detokenization is privileged, tenant-scoped and logged.	Access policy and masking guidance through the catalog and the Raito acquisition. Tokenization is not vocabulary they use.	◆
MCP and agents	More than 200 MCP tools across Ontology, Auth, Corpus and Lighthouse. Auth issues MCP tool tokens with scope ceilings, and delegation is RFC 8693 token exchange with an enforced ceiling. Agents query the governed data itself, under a decision we log.	A real MCP server with more than 100 customers, shipping governed metadata and business context to agents in real time. It hands over meaning, not the data.	◈
AI governance credentials	Control mappings 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 certification.	ISO 42001 certified in the first cohort, an EU AI Act assessment tool in the platform, and an AI Pact signature. Nothing we ship matches this.	◇
Deployment	Self-hosted in your own cloud or data center, or a dedicated single-tenant server we operate. Docker images for Auth, Ontology, Corpus and Lighthouse, with a signed deploy manifest Guardian verifies. Ed25519 audit-signing keys can live in your KMS or HSM; HMAC tokenization keys sit in your environment or derive from your machine key today, not in a KMS.	SaaS-first Data Intelligence Cloud, with private deployment historically offered to large regulated customers. No self-hosted or open-source edition.	◆
Maturity signals	Auth, Guardian and Lighthouse are live in production (Guardian and Lighthouse since April 2026). SOC 2 not yet certified, and we say so.	Founded 2008, 78 Fortune 500 customers, Gartner Magic Quadrant Leader twice, Forrester Wave Leader, Series G at a $5.25B valuation.	◇
Pricing	Published model, scoped instant quote, no sales wall.	Quote only, "Talk to sales" on every path. Third-party buyer data puts typical annual spend in the high five to low six figures, but Collibra publishes nothing.	◆

◆ DataShield leads◇ Collibra leads◈ comparable

Collibra claims are drawn from collibra.com and Collibra's own press releases, last checked 13 September 2026. We link them below rather than work from memory.

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

Proof that survives an audit

A log that can be silently edited proves nothing. Ours is a hash chain with signed checkpoints, and the verifier tells you what broke, not just that something did. That is 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. With DataShield the next governed tool call is re-checked against current authority and 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: the subject's key material is destroyed, the data goes unreadable, and the chain still verifies. See the diagram.

Where Collibra is genuinely stronger

Start with the obvious. Collibra has been at this for 18 years, carries 78 Fortune 500 logos, and manages more than 2 billion data assets. Gartner has named them a Leader in data and analytics 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 are least likely to catch. They did the compliance homework early too. ISO 42001 in the first cohort, an EU AI Act assessment tool, and a signature on the EU AI Pact. We have none of that, and pretending otherwise would be silly. Their MCP server is real too, with over 100 customers, and the Deasy Labs acquisition gave them a serious answer on unstructured content.

Here is the push-back, and it is a narrow one. AI Command Center, launched in May 2026, promises "real-time automated control over agentic AI": see what is deployed, trace how decisions get made, spot drift, intervene before an incident. Read that list again. Every verb is about watching. Nothing in it refuses a tool call. Nothing pulls an agent's authority between one call and the next. Nothing hands an examiner a proof they can check without taking Collibra's word for it. Gartner expects most bad agent actions through 2028 to be broken policy, not attacks. That is the exact case 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 is 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. Each record commits to the one before it, checkpoints are signed and chained, and verification tells deletion apart from truncation and from tampering. Run it against a sample chain at /verify. Collibra: their material describes real-time signals, decision tracing and drift alerts. We found no published tamper-evidence mechanism. Ask them to show one.

What happens to a revoked agent mid-session?

DataShield re-checks authority on every governed tool call, so revocation lands on the next call rather than the next token refresh. Collibra's AI Command Center watches agents and lets you step in. We could not find a mid-session revocation mechanism 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 and issues an ISO 27560 consent receipt. Actor identities in the chain are HMAC-committed, so the evidence still verifies once the subject is gone. Collibra carries retention and privacy policy in the platform. What happens to the data, and to the audit trail, is not spelled out in public. Ask for the mechanism, not the workflow.

Is DataShield a replacement for a Collibra data catalog?

For most enterprises, no. We have a real catalog: providers over live connections, in-place scan and profiling with no row egress, a materialized glossary, typed lineage and stewardship queues. But that is PostgreSQL today. Our glossary is not the thing a business analyst opens. If you have a 40-source estate and a governance program to run, buy Collibra. Run us for the datasets agents actually touch. If you are a smaller regulated team and the agent problem arrived before the programme did, start here.

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

Theirs hands agents governed metadata and business context in real time. That is a sound design for a catalog. Ours is where the data itself gets queried. The tool token carries a scope ceiling, the call is checked before dispatch, and the decision is sealed into the chain. Different jobs. If you want an agent to ask what a column means, use theirs. If you 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 mechanism. We are not SOC 2 certified and we will not imply otherwise, and we hold no AI management-system certificate. 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 publication determination, GDPR Article 17 for crypto-shred. Auth is live in production, Guardian and Lighthouse since April 2026. Design-partner terms include source escrow, so a small vendor is not 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" with a unified control plane to see, monitor and control AI systems and agents, including decision tracing, drift detection and intervention. — Collibra newsroom, 6 May 2026
Collibra's MCP Server delivers governed metadata and business context to agents in real time, and is used by more than 100 customers. — Collibra newsroom, 6 May 2026
ISO 42001 certification for AI governance in the inaugural cohort, an EU AI Act Assessment Tool in the platform, and a signature on the European Commission's AI Pact. — Collibra newsroom, 22 Jan 2025
Acquisition of Raito for data access governance, to "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 consecutive year. — Collibra newsroom, 28 Jan 2026

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