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Cybersecurity · head to head

Baffle vs Yoti

Baffle logo

Baffle

Cybersecurity

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

From
On request
Rated
-
Full reviewWebsite
Yoti logo

Yoti

Cybersecurity

Reusable digital identity, facial age estimation and identity verification

From
On request
Rated
-
Full reviewWebsite

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.; Yoti age estimation returns a probabilistic range rather than a verified date of birth, so it only works with a safety buffer above the legal threshold and cannot prove an exact age.
  • They diverge on capability: Baffle covers Transparent proxy deployment, Yoti covers Facial age estimation.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Baffle and Yoti actually diverge.

Attributes where Baffle and Yoti differ
AttributeBaffleYoti
PlatformsLinux, WebWeb, iOS, Android, API

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Cybersecurity).

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 Yoti

  • Facial age estimation
  • Reusable digital ID
  • Identity verification
  • UK right to work and rent
  • Digital ID for retail
  • Selective disclosure

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 Yoti
  • A company wanting to take a reporting database out of PCI scope by tokenising card fields before they landnot Yoti
  • A healthcare organisation that must ensure database administrators and cloud operators cannot read patient identifiers in the tables they administernot Yoti
  • 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 Yoti

Yoti

  • A social platform meeting UK Online Safety Act age assurance duties without collecting identity documents from teenagersnot Baffle
  • A supermarket removing staff interventions at self-checkout for age-restricted purchasesnot Baffle
  • A UK employer running digital right-to-work checks under the certified trust framework rather than inspecting passportsnot Baffle
  • A gambling operator needing an age gate with high completion rates before the account funding stepnot 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.

Yoti

  • Age estimation returns a probabilistic range rather than a verified date of birth, so it only works with a safety buffer above the legal threshold and cannot prove an exact age.
  • Estimation accuracy varies by demographic and reported error margins widen at the age bands that matter most for eighteen-year thresholds, which pushes borderline users into a document fallback you still have to pay for.
  • Pricing is not published, so buyers cannot compare the cost of an estimation check against a document check without going through sales.
  • Regulatory acceptance of facial estimation differs by jurisdiction, so a method that satisfies Ofcom may not satisfy a regulator elsewhere and multi-market platforms need more than one approach.
  • The reusable digital identity app depends on consumer adoption, which is meaningful in the UK and thin elsewhere, limiting the reusability benefit outside its home market.

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

Yoti

On request
  • Yoti Age and Identity Services$undefined/year
    • Per-check pricing quoted by volume and method
    • Age estimation, document verification and digital ID priced differently
    • Right to work and right to rent checks quoted separately

Which should you pick?

Choose Baffle if

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

Choose Yoti if

  • You need facial age estimation.
  • You work on Web, iOS, Android, API.
  • You also want reusable digital id.
Yoti review

Questions people ask

Is Baffle or Yoti better?
Neither clearly leads. Baffle starts at On request and Yoti at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Baffle or Yoti?
Baffle starts at On request and Yoti at On request.
Does Baffle or Yoti run on more platforms?
Baffle runs on Linux, Web. Yoti runs on Web, iOS, Android, API.
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 Yoti is typically brought in for.
What can Baffle do that Yoti cannot?
Baffle covers Transparent proxy deployment, Field-level encryption, Tokenisation, Format-preserving de-identification. Yoti covers Facial age estimation, Reusable digital ID, Identity verification, UK right to work and rent.

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.

Yoti: Does age estimation store my face?

The image is used to produce an estimate and then deleted rather than retained, which is the specific property that makes it usable for age assurance on minors.

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.

Yoti: Is it accepted for UK Online Safety Act compliance?

Facial age estimation is one of the methods regulators have accepted as highly effective age assurance. Confirm the current position with your own counsel for your content category.

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.

Yoti: Can it prove someone is exactly 21?

No. It gives a range. If you need a precise age you need a document or database check, which Yoti also sells.

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.

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