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," and in that lane we won't argue. They have run a network token vault for a decade, Visa is both an investor and a program partner, and if your goal is to get card numbers out of PCI scope, they are a serious answer. We have no PCI story at all.

DataShield does a different job. 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 current authority, and each decision is sealed into a hash chain you can verify yourself. Below is where the two overlap, where they don't, and the rows VGS wins outright.

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The short version

Pick DataShield when

Your sensitive data is health records, claims, HR files, or customer profiles rather than card numbers. VGS sells payment tokenization. We classify and tokenize general PII and PHI, and we generalize quasi-identifiers (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. 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 authority mid-session and have the very next tool call fail, not wait for a token to expire. How Auth does it.
The evidence plane has to sit on your own infrastructure, 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 and we're not going to pretend otherwise.
You need network tokens with direct connections to the card networks, plus Account Updater, BIN lookup, 3DS, and account validation in one platform. That's a payments product, and it's theirs.
You're building agentic commerce: an AI shopping agent that has to complete a real purchase. Their Agentic Toolkit and Collect MCP UI put a compliant payment form inside the conversation. 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 proves which calls were allowed. A fintech will probably run both.

Feature by feature: tokenization platform against agent governance layer

Competitor cells describe what VGS's public site and press releases say as of the date above. If we've mischaracterised something, email support@myorg.ai and we'll correct it, credited.

What matters	DataShield	VGS	Edge
Payments and PCI	None. 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 commerce	Not 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 conversation. Preferred pilot partner in Visa's Intelligent Commerce Program.	◇
Audit evidence	SHA-256 hash chain with Ed25519-signed checkpoints that are themselves chained. Verification names the failure: tampering, insertion, deletion, or truncation. Public verifier.	The AI Data Firewall page says it will "log events for audit." We found no published cryptographic tamper evidence.	◆
Agent authorization	Every governed tool call passes a scope ceiling, an authority tier, and a revocation re-check before dispatch. Revocation lands mid-session.	Policy rules on the data proxy, expressed as field handling such as "PAN always tokenized." No agent identity, authority tier, or mid-session revocation described.	◆
Break-glass	Scoped, 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 erasure	Crypto-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 mechanism itself isn't described, and neither is its effect on logs.	◆
Tokenization and data handling	Datasets are tokenized at ingest; agents query tokenized data over MCP; detokenization is a privileged, audited operation. 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 PHI	PII 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) with a measured cardinality-reduction score per column.	A PII use-case page offering aliasing and secure exchange. No PHI, HIPAA, BAA, or k-anonymity language found.	◆
MCP and agents	Native MCP endpoints on Auth, Ontology, and Lighthouse. MCP tool tokens with scope ceilings, and per-call metering attributed to the agent.	One MCP surface: a Collect MCP UI for payment capture. That's a checkout widget, not a data access layer.	◆
Deployment	Self-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 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 2016. Ten years of payments, 5 billion tokens stored, SOC 2, PCI DSS, a Juniper Research Platinum award, and Visa as investor and partner.	◇
Pricing	Published 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 are drawn 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, and the verifier 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 is re-checked against current authority and 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. Detokenization stays a privileged, audited call. The data model.

Where VGS is genuinely stronger

Let's be plain. VGS has been in payments since 2016, says it has stored 5 billion tokens, holds SOC 2 and PCI DSS, and won Juniper Research's Platinum award for network tokenization. Visa invested in them and 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 conversation 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 that 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," and Gartner expects most unauthorized agent transactions through 2028 to be internal policy violations rather than attacks. A policy violation is an authorization question, and 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 material 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, and verification 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 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 bites on the next call. VGS describes field-level policy on a proxy, not agent identity or authority tiers, so 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 evidence still verifies once the subject is gone. VGS names GDPR and CCPA as drivers on their PII page but doesn't describe the erasure mechanism. 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, and generalize quasi-identifiers with a measured cardinality-reduction score per column, and 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 and 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 every field.

Does DataShield have SOC 2?

Not yet, and we won't imply otherwise. VGS does, along with PCI DSS. Auth is live a public threat model and a verifier anyone can run. Guardian and Lighthouse have been in production 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.

VGS hero: "The World's Leader in Payment Tokenization" / "The Trusted Agentic Commerce Infrastructure." — verygoodsecurity.com, 13 Sep 2026
VGS Agentic Toolkit, a Money20/20 Awards finalist, includes a Collect MCP UI that renders a compliant payment form inside an agent conversation. — VGS press release, Oct 2025
AI Data Firewall: "automatically tokenize, mask, redact, or block based on your policy" and "log events for audit." — verygoodsecurity.com/ai-data-firewall, 13 Sep 2026
VGS is a preferred pilot partner in Visa's Intelligent Commerce Program for agent-driven payments. — VGS blog, 30 Apr 2025
Starter plans start at $1,000 per month with a free trial; the Growth tier is quote-only. — verygoodsecurity.com/pricing, 13 Sep 2026
At least 80% of unauthorized agent transactions through 2028 will be internal policy violations rather than attacks. — Gartner, 2026

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