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Cybersecurity · head to head

Baffle vs Grype

Baffle logo

Baffle

Cybersecurity

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

From
On request
Rated
-
Full reviewWebsite
Grype logo

Grype

Cybersecurity

Vulnerability scanner for container images and filesystems

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Grype has a free tier, so it costs nothing to try first.
  • 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.; Grype depends on public vulnerability databases, so coverage and false positives vary by ecosystem
  • They diverge on capability: Baffle covers Transparent proxy deployment, Grype covers Image and filesystem scanning.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Baffle and Grype actually diverge.

Attributes where Baffle and Grype differ
AttributeBaffleGrype
Starting priceOn requestFree
Pricing modelquoteOpen source, no licence fee
Free tierNoYes
PlatformsLinux, WebLinux, macOS, Windows, Docker

Identical on both: 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 Grype

  • Image and filesystem scanning
  • SBOM-driven
  • Wide ecosystem coverage
  • Pipeline friendly

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

Grype

  • Re-scanning stored SBOMs as new CVEs are published, without rebuilding imagesnot Baffle
  • Failing CI when a build introduces a known vulnerabilitynot Baffle
  • Auditing what is actually installed inside a third-party imagenot 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.

Grype

  • Depends on public vulnerability databases, so coverage and false positives vary by ecosystem
  • No triage, exception tracking or reporting UI — that is Anchore’s commercial product
  • Overlaps heavily with Trivy, and most teams pick one rather than running both

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

Grype

Free
  • GrypeFree
    • Full functionality
    • No usage limits
    • Community support

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 Grype if

  • You need image and filesystem scanning.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker.
  • You also want sbom-driven.
Grype review

Questions people ask

Is Baffle or Grype better?
Neither clearly leads. Baffle starts at On request and Grype at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Baffle or Grype?
Grype has a free tier; the other does not. Paid plans start at On request for Baffle and Free for Grype.
Does Baffle or Grype run on more platforms?
Baffle runs on Linux, Web. Grype runs on Linux, macOS, Windows, Docker.
Can I use Grype for free?
Yes. Grype has a free tier, so you can try it without paying. Baffle starts at On request.
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 Grype is typically brought in for.
What can Baffle do that Grype cannot?
Baffle covers Transparent proxy deployment, Field-level encryption, Tokenisation, Format-preserving de-identification. Grype covers Image and filesystem scanning, SBOM-driven, Wide ecosystem coverage, Pipeline friendly.

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.

Grype: Is Grype free?

Yes, open source from Anchore. Anchore Enterprise is the paid platform around it.

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.

Grype: What is the difference between Grype and Syft?

Syft generates the software bill of materials; Grype matches that inventory against vulnerability data. They are designed to be used together.

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.

Grype: Grype or Trivy?

They cover similar ground. Trivy is broader out of the box, including misconfiguration and secret scanning; Grype pairs more cleanly with an SBOM-first workflow.

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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