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Cybersecurity · head to head

Baffle vs Legit Security

Baffle logo

Baffle

Cybersecurity

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

From
On request
Rated
-
Full reviewWebsite
Legit Security logo

Legit Security

Cybersecurity

AI-native ASPM platform securing AI-generated code before deployment

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.; Legit Security pricing requires contacting sales, making cost comparison difficult
  • They diverge on capability: Baffle covers Transparent proxy deployment, Legit Security covers VibeGuard AI code scanning.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Baffle and Legit Security actually diverge.

Attributes where Baffle and Legit Security differ
AttributeBaffleLegit Security
Pricing modelquoteContact sales for custom pricing
PlatformsLinux, WebWeb, IDE, CI/CD

Identical on both: starting price (On request), 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 Legit Security

  • VibeGuard AI code scanning
  • Unified vulnerability remediation
  • Code Security (SAST/SCA)
  • Secrets detection and prevention
  • Software Supply Chain Security
  • Code change detection
  • AI-powered remediation
  • Risk scoring

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

Legit Security

  • Securing AI-generated code from GitHub Copilot and IDE assistantsnot Baffle
  • Consolidating vulnerability findings from multiple AppSec toolsnot Baffle
  • Preventing credential leaks across development workspacesnot Baffle
  • Automating remediation workflows with AI-powered suggestionsnot Baffle
  • Compliance automation with SBOM generation and enforcementnot 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.

Legit Security

  • Pricing requires contacting sales, making cost comparison difficult
  • No published pricing tiers or free tier available
  • Requires integration with existing SAST and SCA tools for full capability
  • Focused primarily on code security within development lifecycle
  • Newer entrant with less market presence than established competitors

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

Legit Security

On request

No published plan breakdown. See the Legit Security review.

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 Legit Security if

  • You need vibeguard ai code scanning.
  • You work on Web, IDE, CI/CD.
  • You also want unified vulnerability remediation.
Legit Security review

Questions people ask

Is Baffle or Legit Security better?
Neither clearly leads. Baffle starts at On request and Legit Security at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Baffle or Legit Security?
Baffle starts at On request and Legit Security at On request.
Does Baffle or Legit Security run on more platforms?
Baffle runs on Linux, Web. Legit Security runs on Web, IDE, CI/CD.
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 Legit Security is typically brought in for.
What can Baffle do that Legit Security cannot?
Baffle covers Transparent proxy deployment, Field-level encryption, Tokenisation, Format-preserving de-identification. Legit Security covers VibeGuard AI code scanning, Unified vulnerability remediation, Code Security (SAST/SCA), Secrets detection and prevention.

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.

Legit Security: What is VibeGuard and how does it work?

VibeGuard is Legit Security's core feature that scans AI-generated code directly within IDEs like GitHub Copilot and Cursor, identifying vulnerabilities before code leaves the developer's editor.

Source
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.

Legit Security: What AI code assistants does Legit Security support?

Legit Security integrates with GitHub Copilot, Cursor, and Claude to scan AI-generated code for vulnerabilities.

Source
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.

Legit Security: How does Legit Security's AI remediation feature work?

The platform uses AI to suggest specific code fixes for identified vulnerabilities and can automatically create tickets in Jira with full context for developers to review and apply.

Source
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.

Legit Security: Does Legit Security support compliance reporting?

Yes, Legit Security automates compliance automation with SBOM generation and can generate compliance reports for security and regulatory requirements.

Source
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