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Cybersecurity · head to head

Baffle vs Basis Theory

Baffle logo

Baffle

Cybersecurity

Transparent proxy that encrypts, tokenises and masks database fields without application code changes

From
On request
Rated
-
Basis Theory logo

Basis Theory

APIs

Developer tokenisation platform that holds card and sensitive data inside a PCI Level 1 environment you do not operate

From
$995/month
Rated
-

The short version

  • Each has a real cost: Baffle the proxy sits in the production data path, so it becomes a latency contributor and a failure domain, and any deployment needs load and failover testing that customers routinely underestimate.; Basis Theory the Starter plan is 995 US dollars a month before any volume, which is a real floor for an early stage company and puts the product out of reach of teams tokenising a few thousand records.
  • They diverge on capability: Baffle covers Transparent proxy deployment, Basis Theory covers Tokenisation API.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Baffle and Basis Theory actually diverge.

Attributes where Baffle and Basis Theory differ
AttributeBaffleBasis Theory
Starting priceOn request$995/month
Pricing modelquotePer month by token volume
PlatformsLinux, WebWeb, iOS, Android, Linux
CategoryCybersecurityAPIs

Identical on both: free tier (No), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Baffle

  • Transparent proxy deployment
  • Field-level encryption
  • Tokenisation
  • Format-preserving de-identification
  • Dynamic data masking
  • Bring your own key
  • Analytics and pipeline support
  • AI pipeline protection

Only in Basis Theory

  • Tokenisation API
  • Hosted elements
  • Outbound proxy
  • PCI attestation of compliance
  • Processor portability
  • Reactors
  • Access controls and audit
  • PII and PHI options

What people use each for

The jobs each tool is most often brought in to do.

Baffle

  • A bank with a legacy application it cannot safely refactor that has an audit finding requiring field-level encryption of account datanot Basis Theory
  • A company wanting to take a reporting database out of PCI scope by tokenising card fields before they landnot Basis Theory
  • A healthcare organisation that must ensure database administrators and cloud operators cannot read patient identifiers in the tables they administernot Basis Theory
  • A team moving regulated data into a warehouse or an AI retrieval pipeline that needs identifiers de-identified in transit without rewriting the ingest jobsnot Basis Theory

Basis Theory

  • A payments company that wants card on file without bringing its own infrastructure into PCI scope and paying for the assessment that followsnot Baffle
  • A merchant locked into a processor by that processor vault that wants to hold its own tokens and route to more than one acquirernot Baffle
  • A fintech collecting bank account and identity data that needs it isolated from its application database before an enterprise security reviewnot Baffle
  • A team that needs to send stored card data to a third party for a one-off integration without that data traversing its own serversnot Baffle

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Baffle

  • The proxy sits in the production data path, so it becomes a latency contributor and a failure domain, and any deployment needs load and failover testing that customers routinely underestimate.
  • What you can still do in SQL depends on the protection mode chosen, and stronger modes restrict comparisons, joins and aggregations on protected columns, which can quietly break existing reports and analytics.
  • Database and driver coverage is finite, so an organisation with an unusual engine, an old driver or heavy use of stored procedures may find its most important system is exactly the one not supported.
  • Pricing is unpublished and scales with protected data stores, which means an enterprise trying to protect a long tail of small databases pays disproportionately compared with protecting a handful of large ones.
  • Key management is your responsibility under bring your own key, and while that is the correct security posture, it moves a real operational burden and a genuine data-loss risk onto the customer.

Basis Theory

  • The Starter plan is 995 US dollars a month before any volume, which is a real floor for an early stage company and puts the product out of reach of teams tokenising a few thousand records.
  • Starter is limited to the US region, so a company with European data residency requirements is pushed into a quoted Scale or Enterprise agreement immediately.
  • Log retention on Starter is 24 hours, which is well below what most security teams expect for a system holding cardholder data and forces an upgrade for reasons unrelated to volume.
  • Migrating away means moving card data out of the vault, which requires processor and assessor involvement and is slow, so the portability argument that attracts buyers cuts against them at exit.
  • An attestation of compliance covers the vendor environment, not your assessment; your assessor still decides what is in scope, and buyers occasionally discover their integration pattern pulled systems back into scope anyway.

Pricing, plan by plan

Baffle

On request
  • Baffle Data Protection Services$undefined/year
    • Quoted by protected data stores and deployment scale
    • Self-managed and cloud marketplace deployment options
    • Annual subscription

Basis Theory

$995/month
  • Starter$995/month
    • 20,000 tokens included
    • Production PCI Level 1 environment
    • US region only
  • Scale$undefined/month
    • Quoted
    • Higher token volumes
    • Additional regions
  • Enterprise$undefined/month
    • Quoted
    • Additional compliance options for PII and PHI
    • Responses for 95 percent of PCI SAQ D

Which should you pick?

Choose Baffle if

  • You need transparent proxy deployment.
  • You work on Linux, Web.
  • You also want field-level encryption.

Choose Basis Theory if

  • You need tokenisation api.
  • You work on Web, iOS, Android, Linux.
  • You also want hosted elements.

Questions people ask

Is Baffle or Basis Theory better?
Neither clearly leads. Baffle starts at On request and Basis Theory at $995/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Baffle or Basis Theory?
Baffle starts at On request and Basis Theory at $995/month.
Does Baffle or Basis Theory run on more platforms?
Baffle runs on Linux, Web. Basis Theory runs on Web, iOS, Android, Linux.
What is Baffle best used for?
Baffle is most often used for a bank with a legacy application it cannot safely refactor that has an audit finding requiring field-level encryption of account data, a company wanting to take a reporting database out of pci scope by tokenising card fields before they land, a healthcare organisation that must ensure database administrators and cloud operators cannot read patient identifiers in the tables they administer, a team moving regulated data into a warehouse or an ai retrieval pipeline that needs identifiers de-identified in transit without rewriting the ingest jobs. Of those, a bank with a legacy application it cannot safely refactor that has an audit finding requiring field-level encryption of account data and a company wanting to take a reporting database out of pci scope by tokenising card fields before they land are not what Basis Theory is typically brought in for.
What can Baffle do that Basis Theory cannot?
Baffle covers Transparent proxy deployment, Field-level encryption, Tokenisation, Format-preserving de-identification. Basis Theory covers Tokenisation API, Hosted elements, Outbound proxy, PCI attestation of compliance.

Answered from the vendors’ own pages

Baffle: Do applications need code changes?

No. That is the central design choice. Baffle intercepts traffic as a proxy rather than requiring an SDK call at every read and write.

Basis Theory: Does this make us PCI compliant?

It removes cardholder data from your systems and gives you an AOC plus documented responses for most of a SAQ D. Your assessor still determines your scope, and a careless integration can pull systems back in.

Baffle: Can you still query encrypted columns?

Partly, and it depends on the protection mode. Some modes preserve equality matching and format, stronger modes restrict what SQL operations remain possible, so this must be tested against your actual queries.

Basis Theory: What does it cost to start?

995 US dollars a month on Starter, including 20,000 tokens, a production PCI Level 1 environment and US hosting. Higher tiers are quoted.

Baffle: Does it take systems out of PCI scope?

Tokenisation can reduce scope by ensuring card data never lands in the protected system, but scope reduction is an assessor judgement, not a product setting.

Basis Theory: Can we switch payment processors without re-collecting cards?

Yes, that is the main non-compliance reason to buy it. You hold the tokens and detokenise into whichever processor you route to.

Baffle: Who holds the encryption keys?

You do, through your own key management service. Baffle supports bring your own key rather than holding customer keys itself.

Basis Theory: Is data stored outside the United States?

Not on Starter, which is US only. Other regions require a Scale or Enterprise agreement.

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