Head-to-head · updated 13 September 2026
DataShield vs Profisee: whose master data can prove what the agent did?
Profisee is a good MDM product and the mid-market likes it. Golden records for customers, products, suppliers and locations, a stewardship screen your business users will actually open, and a Microsoft story nobody else in master data management can match: a native Fabric workload, a certified Microsoft 365 Copilot agent, a Power Platform connector, and marketplace billing against your Azure spend. They are a Leader in the 2026 Gartner Magic Quadrant. Since March 2026 they also ship an MCP server, so "we have MCP and they don't" is a line we are not going to sell you.
We build master data too. Ontology does Fellegi-Sunter probabilistic record linkage, LSH blocking, EM-trained parameters and five survivorship strategies, and it publishes the algorithm names so you can check them. The split is what happens under the tool call. Datasets are tokenized at ingest; agents query tokenized data over MCP; detokenization is a privileged, audited operation. Every governed call is re-checked against the agent's current authority, and the decision is sealed into a hash chain you can verify without trusting us. Here is the honest scorecard, rows they win included.
The short version
Pick DataShield when
- An agent is going to read your golden records, and someone will later ask you to prove the access log was not edited. Our chain answers with math, not a policy PDF. 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 same stack has to classify PII and PHI, tokenize it, and still match records well. We do all four in one place. See the ontology.
- You want a price before a sales call, and the whole thing running on your own hardware.
Pick Profisee when
- You live in the Microsoft stack. Fabric workload, OneLake, Copilot, Power Platform, Azure Marketplace billing. Nobody in MDM has built that seam deeper, and we have not built it at all.
- Business stewards, not engineers, will run the day job. Their UI and their match monitoring screens are better than ours, and I would say that in front of a customer.
- You need many domains, many source systems, and hundreds of millions of records under management with a partner bench to implement it.
- You need SOC 2 and HIPAA attestation on paper today. Their pricing page states both. We are not certified yet.
Bottom line: Profisee builds you a golden record and a good place to steward it. We build you a golden record an agent can read under a policy you can later prove. If your MDM buy is really an AI governance buy in disguise, that difference decides it.
Feature by feature
Competitor cells describe what Profisee'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 | Profisee | Edge |
|---|---|---|---|
| Entity resolution and matching | Fellegi-Sunter probabilistic record linkage with Jaro-Winkler, Levenshtein, Soundex and Double Metaphone comparators, LSH blocking, EM-trained m and u parameters, five survivorship strategies, and Population Stability Index drift monitoring on every promoted match config. An absolute-identifier tier routes identifier conflicts to review instead of merging them. | Mature matching and survivorship, plus AI vector matching added in March 2026 that pairs records by meaning, and matching stated at hundreds of millions of records with real-time monitoring. | ◈ |
| Microsoft ecosystem | None. We are not in Fabric, not in Copilot, not on Azure Marketplace. | A native MDM workload inside Microsoft Fabric with OneLake and SSO, a certified Microsoft 365 Copilot agent, a Power Platform connector, and an Azure Marketplace listing. | ◇ |
| Stewardship experience | Stewardship queues with pattern trust, standing disposition rules, blast-radius dry-run and a weighted quality score per domain. It is MCP-first, and the screens are plainer than theirs. | The stronger product for a business steward, and Aisey now sets up a match rule or a model from a chat prompt. | ◇ |
| Audit evidence | SHA-256 hash chain with Ed25519-signed checkpoints that are themselves chained. Verification names the failure: tampering, insertion, deletion or truncation. Try the verifier. | Transaction audit trails, and the 2026.R2 release says the MCP server has built-in authentication and audit. We found no published tamper-evidence mechanism. Ask to see one. | ◆ |
| Agent authorization | Every governed tool call passes a scope ceiling, an authority tier and a revocation re-check before dispatch. The call fails closed. Delegation is RFC 8693 token exchange with an enforced scope ceiling. | Authentication on the MCP server, and Aisey runs inside what they call governance guardrails. We could not find a per-call authorization decision point in their public material. | ◆ |
| Break-glass | Scoped, time-boxed emergency access for agents. It auto-revokes and 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, and a consent-validity record per subject and purpose sitting under the golden record. The audit chain still verifies afterwards. | Governance rules and audit trails. The erasure mechanism is not described, which matters a lot in MDM, where the golden record is the last copy. | ◆ |
| Tokenization and classification | 129 field classes covering PII, PHI, financial data and secrets, with checksum validation and reproducible verdicts. Deterministic, join-preserving, vault-reversible tokens 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. Masking is a switch you turn on, not a default. | Not part of the product as described. Data quality rules and REGEX validation are not the same job. | ◆ |
| MCP and agents | More than 200 MCP tools across Ontology, Auth, Corpus and Lighthouse, with golden records served behind masked views and per-call metering attributed to the agent. | A real MCP server since March 2026, reaching Copilot, Claude, ChatGPT and custom agents, and extended in July 2026 across Matching, Connect, FastApps, Forms and Presentation Views. | ◈ |
| 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 today, not in a KMS. | Managed SaaS on their Azure with a 99.8% availability commitment, or a containerized Kubernetes service you run on Azure, AWS, GCP or on-premises. Genuinely flexible. | ◈ |
| Maturity and certifications | Founded recently, small team, live in production (Guardian and Lighthouse since April 2026). SOC 2 not yet certified, and we say so. Design-partner terms include source escrow. | Founded 2007, a 2026 Gartner Magic Quadrant Leader, a long logo list from Blue Cross Blue Shield to AB InBev, and SOC 2 plus HIPAA and HI-TECH stated on their pricing page. | ◇ |
| Pricing | Published model, scoped instant quote, no sales wall. | The model is public and fair: pay by record volume, unlimited domains and attributes, bulk rates at scale. The numbers are not. You still have to call. | ◆ |
◆ DataShield leads◇ Profisee leads◈ comparable
Profisee claims are drawn from profisee.com and Profisee'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 MDM suite
Proof that survives an audit
A log that can be quietly edited proves nothing. Ours is a hash chain with signed checkpoints, and the verifier names what broke, not just that something did. That is the property EU AI Act Article 12 and HIPAA §164.312(b) reviewers ask about. Try it in your browser, no signup.
Authority that can change mid-flight
A contractor's access is pulled at 4pm on a Friday. Their agent is 20 minutes into a 40-minute merge run over customer goldens. With DataShield the next governed tool call is re-checked and fails closed. A dashboard tells you about it on Monday. How Auth does it.
Privacy inside the match, not bolted on after
Golden reads mask PII, and derived name and address fields inherit the verdict of the field they came from. If a matching field is tokenized at rest, the run refuses instead of merging everyone into one giant record. See the ontology.
Where Profisee is genuinely stronger
Let me be direct about the gap. Profisee has been shipping MDM since 2007 and it shows. Two editions, a clean upgrade path for the Microsoft Master Data Services estate, unlimited domains at one price, and the kind of stewardship screens a data steward can learn in an afternoon. The Microsoft seam is the real moat: a native Fabric workload built on the Extensibility SDK, a certified Copilot agent, a Power Platform connector, and billing through Azure Marketplace. If your CIO has an Azure commit to burn, that shortens a procurement cycle by months. They also move fast. Aisey shipped in August 2025, an MCP server in March 2026, and a re-architecture of Aisey on the Microsoft Agent Framework in July 2026, with the claim that an admin can upload a Word doc of requirements and have a working MDM environment ten minutes later. Our setup is not ten minutes.
Here is the push-back. Their 2026.R2 notes say the MCP server ships with built-in authentication and audit. Those are the right words, and they are also the easiest words in security to say. Authentication is a door check at the start of a session, which is not the same as re-checking authority on every call. An audit trail is a table, which is not the same as a chain an outside party can verify after the fact. Ask them the two questions we ask ourselves: what happens on the tool call after you revoke an agent, and can you prove a row of the audit log was not deleted last quarter. If those answers are thin, you now own a very good golden record with no evidence about who read it.
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. Try it against a sample chain at /verify. Profisee: their material describes transaction audit trails and audit on the MCP server. We found no tamper-evidence mechanism published. 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 and it fails closed. Profisee's MCP server states built-in authentication. We could not find a mid-session revocation mechanism in their public docs. Ask how long a compromised agent keeps reading golden records after you pull its access.
How does GDPR erasure interact with the audit trail?
This bites harder in MDM than anywhere else, because the golden record is often the last surviving copy of a person. 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, and a consent record per subject and purpose sits under the golden. Profisee describes governance rules and audit trails. Ask for the erasure mechanism, not the workflow.
Profisee ships an MCP server too. What's actually different?
Theirs is real, it landed in March 2026, and by July it reached Matching, Connect, FastApps, Forms and Presentation Views from Copilot, Claude and ChatGPT. Good work. The difference is the layer under it. Our tool tokens carry a scope ceiling, the call is authorized before dispatch, usage is metered and attributed to the agent, and the decision is sealed into a chain. If you want an agent to read master data, either will do. If you want to prove later what it read and why that was allowed, ask both of us for the artefact.
We're a Microsoft shop. Isn't Profisee the obvious answer?
Often, yes. If Fabric is your data plane and Copilot is your interface, their seam is worth real money and we cannot match it. Two cases flip it. One: a residency or sovereignty rule means the master data cannot sit in their Azure tenancy, and you want the whole stack on hardware you control. Two: the agent evidence requirement is the actual driver, in which case you are buying an audit layer with MDM attached, which is the shape we are.
Does DataShield have SOC 2?
Not yet, and we will not imply otherwise. Profisee states SOC 2 and HIPAA on its pricing page and we do not. What we offer instead is a published threat model, a verifier anyone can run, and code you can host yourself. Guardian and Lighthouse have been in production 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.
- Profisee's MCP Server connects governed master data to Microsoft Copilot, Claude and Gemini; AI vector matching pairs records by meaning; CTO Eric Melcher: "Our MCP Server transforms Profisee from a system that data teams manage into a governed data backbone." — Profisee 2026.R1 release, 26 Mar 2026
- Aisey re-architected on the Microsoft Agent Framework to orchestrate specialist agents; MCP server extended across Matching, Connect, FastApps, Forms and Presentation Views with built-in authentication and audit; matching stated at hundreds of millions of records. — Profisee 2026.R2 release, 8 Jul 2026
- Native MDM workload inside Microsoft Fabric with OneLake integration and SSO, built on the Fabric Extensibility SDK. — Profisee press release, 26 Feb 2025
- Aisey introduced as an always-on MDM assistant with autonomous agents, surfaced in Microsoft Teams, Copilot and Copilot Studio. — Profisee blog, 11 Aug 2025
- Pricing is volume-based and domain-agnostic with unlimited domains and attributes; SaaS carries a 99.8% availability commitment; the page states SOC 2 and HIPAA/HI-TECH certification. No dollar figures are published. — profisee.com/pricing, 13 Sep 2026
- Homepage claims Leader placement in the 2026 Gartner Magic Quadrant for Master Data Management Solutions. — profisee.com, 13 Sep 2026
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AllEvery comparison
One honest scorecard per vendor.
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