Head-to-head · updated 13 September 2026

DataShield vs VGS: payment tokenization or agent governance?

VGS calls itself "The World's Leader in Payment Tokenization." In that lane, we won't argue. They've run a network token vault for a decade. Visa is both an investor and a program partner. If your goal is to get card numbers out of PCI scope, they're a serious answer. We have no PCI story at all.

DataShield does a different job. Data gets tokenized at ingest. Agents query it as tokens, over MCP. Reversing a token is a guarded, logged step. Each governed tool call gets checked against the agent's current access. Each choice gets sealed into a hash chain you can check yourself. Below is where the two overlap, where they don't, and the rows VGS wins outright.

DataShield vs VGS at a glanceEight questions regulated buyers ask us. Scored from each vendor's public documentation. DataShield vs VGS at a glance Eight questions regulated buyers ask us. Scored from each vendor's public documentation. DataShield VGS Tamper-evident audit chain you can verify Authority re-checked on every tool call Break-glass access for agents GDPR erasure that keeps the chain valid Join-preserving tokens for analytics Runs on your own infrastructure Network tokens and card networks PCI DSS descoping shipped partial / roadmap not offered Sources at the bottom of this page.

The short version

Pick DataShield when

  • Your sensitive data is health records, claims, HR files, or customer profiles, not card numbers. VGS sells payment tokenization. We classify and tokenize general PII and PHI. We generalize quasi-identifiers: dates to year, decade or age band; ZIPs to 3 or 4 digits; partial phones, SSNs and emails. Each column gets a measured shrink score. See the data layer.
  • Someone will eventually ask you to prove an agent's access log wasn't edited. Our chain answers that with math you can run yourself. Try the verifier.
  • You need to pull an agent's access mid-session. The very next tool call should fail, not wait for a token to expire. How Auth does it.
  • The evidence plane has to sit on your own setup, with your keys. VGS is a hosted vault by design. That's the whole "zero data" pitch.

Pick VGS when

  • The job is PCI DSS scope reduction. Their whole business is holding the PAN, so you don't. We have no PCI attestation. We're not going to pretend otherwise.
  • You need network tokens with direct links to the card networks, plus Account Updater, BIN lookup, 3DS, and account checks, in one platform. That's a payments product, and it's theirs.
  • You're building agentic commerce: an AI shopping agent that has to finish a real purchase. Their Agentic Toolkit and Collect MCP UI put a compliant payment form inside the chat. We don't do payments.
  • You want a vendor with a decade of payments track record, SOC 2, and Visa on the cap table.

Bottom line: these are different products that share a word. VGS tokenizes payment credentials, so money can move. DataShield tokenizes datasets, so agents can work on them. Then it proves which calls were allowed. A fintech will probably run both.

Feature by feature: tokenization platform against agent governance layer

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

What mattersDataShieldVGSEdge
Payments and PCINone. No PCI DSS attestation, no card rails, no network tokens. Not our market.Core business. Network token vault. Direct links to all four card networks. PCI assessment and audit services. Plus 3DS and Account Updater.◇
Agentic commerceNot offered. Our agents read governed datasets; they don't buy things.Agentic Toolkit with browser autofill, and a Collect MCP UI that renders a compliant payment form inside an agent chat. Preferred pilot partner in Visa's Intelligent Commerce Program.◇
Audit evidenceSHA-256 hash chain. Ed25519-signed checkpoints, chained too. The check names the failure: tampering, insertion, deletion, or truncation. Try the verifier.The AI Data Firewall page says it will "log events for audit." We found no public cryptographic tamper evidence.◆
Agent authorizationEach governed tool call passes a scope ceiling, an access tier, and a pull-back check, before dispatch. A pull lands mid-session.Policy rules on the data proxy, expressed as field handling such as "PAN always tokenized." No agent identity, access tier, or mid-session pull-back described.◆
Break-glassScoped, time-boxed emergency access for agents that auto-revokes and can't be quietly deleted from the log.We couldn't find it in their public docs.◆
GDPR erasureCrypto-shred of per-subject key material, plus ISO 27560 consent receipts. The audit chain still verifies after erasure.GDPR and CCPA named as compliance drivers on the PII page. The erasure step itself isn't described. Neither is its effect on logs.◆
Tokenization and data handlingData gets tokenized at ingest. Agents query it as tokens, over MCP. Reversing a token is a guarded, logged step. Tokens are deterministic, join-preserving, and vault-reversible. So analytics still works.Aliasing at collection, with AES-256-GCM storage, plus network tokens for cards. Built for exchange with third parties, not for joins in a warehouse.◈
Non-payment PII and PHIPII and PHI classification across 129 field classes, on general datasets. Plus quasi-identifier generalization: dates to year, decade or age band; ZIPs to 3 or 4 digits; partial phones, SSNs and emails. Each column gets a measured shrink score.A PII use-case page offering aliasing and secure exchange. No PHI, HIPAA, BAA, or k-anonymity language found.◆
MCP and agentsNative MCP endpoints on Auth, Ontology, and Lighthouse. MCP tool tokens with scope ceilings. Per-call metering, tied to the agent.One MCP surface: a Collect MCP UI for payment capture. That's a checkout widget, not a data access layer.◆
DeploymentSelf-hosted in your own cloud or data center, or on a dedicated single-tenant server we operate. Your keys.Hosted vault. "Zero data" means the data lives with them, which is the point of the architecture.◆
Maturity signalsAuth, Guardian and Lighthouse are live and running (Guardian and Lighthouse since April 2026). SOC 2 is planned, not attested, and we say so.Founded 2016. Ten years of payments. 5 billion tokens stored. SOC 2, PCI DSS, a Juniper Research Platinum award. Visa as investor and partner.◇
PricingPublished model, scoped instant quote, no sales wall.Starter plans from $1,000 a month with a free trial. Growth tier is quote-only.◈

◆ DataShield leads◇ VGS leads◈ comparable

VGS claims come from verygoodsecurity.com and VGS press releases, last checked 13 September 2026. We link them below, rather than paraphrase from memory.

Three things you get here that you won't get from a payment token vault

Proof that survives an audit

A log that can be quietly edited proves nothing. Ours is a hash chain with signed checkpoints. The checker tells you what broke, not just that something did. That's the property EU AI Act Article 12 and HIPAA §164.312(b) reviewers care about. Run it in your browser, no signup.

Authority that changes mid-flight

An analyst resigns at 2pm. Their agent is halfway through a 40-minute job. With DataShield, the next governed tool call gets re-checked against current access. It fails closed. A vault token just keeps working until it expires. How Auth does it.

Tokens your data team can still use

Payment tokens are made to be handed to a PSP. Ours are made to be joined. Same input, same token, every time. So you can group by customer, across five tables, without ever seeing a name. Reversing a token stays a guarded, logged call. The data model.

Where VGS is genuinely stronger

Let's be plain. VGS has been in payments since 2016. They say they've stored 5 billion tokens. SOC 2 and PCI DSS are theirs as well. They won Juniper Research's Platinum award for network tokenization. Visa invested in them, then made them a pilot partner for Intelligent Commerce. If your problem is a QSA and a card vault, that record beats ours, and it isn't close. Their agentic commerce bet is smart too. The Collect MCP UI drops a compliant payment form into an agent chat, so the card never touches your stack. Nobody at DataShield can build you that.

Here's the push-back. Their AI Data Firewall is a proxy. It spots sensitive fields in traffic, and tokenizes, masks, redacts, or blocks them. Useful. But it answers "was this field protected," not "was this agent allowed to make this call." Gartner expects most such incidents through 2028 to be internal policy violations, not attacks. A policy violation is an authorization question. It needs an answer that holds up six months later, when someone asks for the March logs. That's the layer we sell. And we've found nothing in their public docs that covers it.

Questions worth asking both of us

These are the questions we'd want answered if we were buying. Ask them on every vendor call, including ours.

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. The check tells deletion apart from truncation and tampering. Run it on a sample chain at /verify. VGS: their AI Data Firewall page promises to "log events for audit." But we found no tamper-evidence proof published. Ask them to show one.

What happens to a revoked agent mid-session?

DataShield re-checks access on each governed tool call. So a pull-back lands on the next call. VGS describes field-level policy on a proxy, not agent identity or access tiers. We couldn't find an answer in their 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 the subject's key material and issues an ISO 27560 consent receipt. Actor identities in the chain are HMAC-committed. So the proof still verifies once the subject is gone. VGS names GDPR and CCPA as drivers on their PII page. But it doesn't describe the erasure step. Ask whether deleting a subject breaks the log.

We're looking for a VGS alternative for non-payment PII. Is that you?

For health records, HR data, claims, and customer profiles, yes. We classify PII and PHI across datasets, against 129 field classes. We generalize quasi-identifiers, with a measured shrink score per column. Then we tokenize at ingest, so agents query protected data over MCP. For card numbers and PCI scope, no. Go to VGS. Or stay with them, and put us beside them.

Is DataShield an alternative to the VGS AI Data Firewall?

Partly, and the difference is worth understanding. Their firewall sits inline. It scrubs sensitive fields out of traffic, on the way to a model. We deliberately don't sit inline. We tokenize the dataset at ingest, so the value the agent can reach was never the real one. That means we can't de-identify a free-form prompt on the fly. It also means we're not trusting a pattern match to catch each field.

Does DataShield have SOC 2?

Not yet, SOC 2 is planned, not attested, and we won't imply otherwise. VGS does have SOC 2, along with PCI DSS. Auth is live, with a public threat model and a checker anyone can run. Guardian and Lighthouse have been live since April 2026. Design-partner terms include source escrow, so a small vendor isn't a single point of failure. Details on the security page.

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Every comparison

One honest scorecard per vendor, sources at the bottom.

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