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Cybersecurity · head to head

Legit Security vs Securiti

Legit Security logo

Legit Security

Cybersecurity

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

From
On request
Rated
-
Securiti logo

Securiti

Cybersecurity

Data and AI security posture management with privacy operations on a single data catalogue

From
On request
Rated
-

The short version

  • Each has a real cost: Legit Security pricing requires contacting sales, making cost comparison difficult; Securiti value depends entirely on connector coverage and completed scanning, so the first useful data map commonly takes months and stalls whenever a data owner will not grant access to a system.
  • They diverge on capability: Legit Security covers VibeGuard AI code scanning, Securiti covers Sensitive data discovery.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

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

Attributes where Legit Security and Securiti differ
AttributeLegit SecuritySecuriti
Pricing modelContact sales for custom pricingquote
PlatformsWeb, IDE, CI/CDWeb

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 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

Only in Securiti

  • Sensitive data discovery
  • Data security posture management
  • Data access intelligence
  • AI and LLM governance
  • PrivacyOps
  • Data flow governance
  • Breach impact analysis
  • People data graph

What people use each for

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

Legit Security

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

Securiti

  • An enterprise that must answer, within days of a breach, exactly whose regulated data was in the affected store and in which jurisdictionsnot Legit Security
  • A privacy team automating deletion requests across dozens of systems where the hard part is knowing where a person appears at allnot Legit Security
  • A security team that needs to find sensitive data sitting in over-permissive cloud buckets and warehouse tables before an auditor doesnot Legit Security
  • A company putting internal data into retrieval-augmented AI applications and needing to prove that regulated fields are not reaching the modelnot Legit Security

Where each one falls short

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

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

Securiti

  • Value depends entirely on connector coverage and completed scanning, so the first useful data map commonly takes months and stalls whenever a data owner will not grant access to a system.
  • Usage-based pricing tied to data volume means costs rise as the estate grows rather than as the security programme matures, and organisations with large but low-risk data lakes pay for scanning they do not need.
  • The breadth across DSPM, privacy and AI governance means each individual module is competing with a specialist, and buyers who only need one of the three often find a focused tool does that job better for less.
  • Classification accuracy on unstructured and free-text data requires tuning, and untuned deployments generate false positives that erode trust in the catalogue precisely when teams are being asked to act on it.
  • Pricing is unpublished and modular, so scoping is difficult without a sales engagement and the eventual cost depends on module choices that are hard to evaluate before you have seen your own data map.

Pricing, plan by plan

Legit Security

On request

No published plan breakdown. See the Legit Security review.

Securiti

On request
  • Data and AI Command Centre$undefined/year
    • Modular, usage based pricing quoted by data volume and modules selected
    • Available through the AWS marketplace as well as direct
    • Annual subscription with no fixed end date, cancellable

Which should you pick?

Choose Legit Security if

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

Choose Securiti if

  • You need sensitive data discovery.
  • You also want data security posture management.

Questions people ask

Is Legit Security or Securiti better?
Neither clearly leads. Legit Security starts at On request and Securiti at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Legit Security or Securiti?
Legit Security starts at On request and Securiti at On request.
Does Legit Security or Securiti run on more platforms?
Legit Security runs on Web, IDE, CI/CD. Securiti runs on Web.
What is Legit Security best used for?
Legit Security is most often used for securing ai-generated code from github copilot and ide assistants, consolidating vulnerability findings from multiple appsec tools, preventing credential leaks across development workspaces, automating remediation workflows with ai-powered suggestions. Of those, securing ai-generated code from github copilot and ide assistants and consolidating vulnerability findings from multiple appsec tools are not what Securiti is typically brought in for.
What can Legit Security do that Securiti cannot?
Legit Security covers VibeGuard AI code scanning, Unified vulnerability remediation, Code Security (SAST/SCA), Secrets detection and prevention. Securiti covers Sensitive data discovery, Data security posture management, Data access intelligence, AI and LLM governance.

Answered from the vendors’ own pages

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
Securiti: Is Securiti a DSPM tool or a privacy tool?

Both, deliberately. It runs data security posture management and privacy operations off one discovery catalogue, which is its main argument against buying two products.

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
Securiti: What does it cost?

Not published. Pricing is modular and usage based, quoted by data volume and selected modules, and it is also available through the AWS marketplace.

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
Securiti: How long until it is useful?

Expect months, not weeks. The limiting factor is configuring connectors and getting access approvals to the systems you most want scanned.

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
Securiti: Does it govern AI use?

Yes, it includes controls over data flowing into models and retrieval pipelines, which is increasingly the reason enterprises shortlist it.

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