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Cybersecurity · head to head

Endor Labs vs Securiti

Endor Labs logo

Endor Labs

Cybersecurity

Security and AI agent governance for code and supply chain

From
Free
Rated
-
Full reviewWebsite
Securiti logo

Securiti

Cybersecurity

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

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Endor Labs has a free tier, so it costs nothing to try first.
  • Each has a real cost: Endor Labs pricing requires contacting sales, no transparent rates; 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: Endor Labs covers AI coding agent governance, Securiti covers Sensitive data discovery.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Endor Labs and Securiti actually diverge.

Attributes where Endor Labs and Securiti differ
AttributeEndor LabsSecuriti
Starting priceFreeOn request
Pricing modelSeat-based per contributing developer with volume discountsquote
Free tierYesNo
PlatformsWeb, CLI, IDEWeb
Founded2021Unknown

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 Endor Labs

  • AI coding agent governance
  • SAST scanning
  • Secrets detection
  • Reachability analysis
  • Open source dependency scanning
  • Package firewall
  • MCP server integration

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.

Endor Labs

  • Securing AI coding agent outputs before deploymentnot Securiti
  • Reducing SAST false positives with reachability analysisnot Securiti
  • Managing open source supply chain risknot Securiti
  • Enforcing security policies in CI/CD pipelinesnot 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 Endor Labs
  • A privacy team automating deletion requests across dozens of systems where the hard part is knowing where a person appears at allnot Endor Labs
  • A security team that needs to find sensitive data sitting in over-permissive cloud buckets and warehouse tables before an auditor doesnot Endor Labs
  • A company putting internal data into retrieval-augmented AI applications and needing to prove that regulated fields are not reaching the modelnot Endor Labs

Where each one falls short

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

Endor Labs

  • Pricing requires contacting sales, no transparent rates
  • Developer tier lacks UI and historical scan data
  • Free tier limited to local scanning only
  • Seat-based model may become expensive for large teams

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

Endor Labs

Free
  • DeveloperFree
    • Local scanning
    • Read-only vulnerability data
    • No UI, policies, or scan history

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 Endor Labs if

  • You need ai coding agent governance.
  • You want to start without paying.
  • You work on Web, CLI, IDE.
  • You also want sast scanning.
Endor Labs review

Choose Securiti if

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

Questions people ask

Is Endor Labs or Securiti better?
Neither clearly leads. Endor Labs starts at Free and Securiti at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Endor Labs or Securiti?
Endor Labs has a free tier; the other does not. Paid plans start at Free for Endor Labs and On request for Securiti.
Does Endor Labs or Securiti run on more platforms?
Endor Labs runs on Web, CLI, IDE. Securiti runs on Web.
Can I use Endor Labs for free?
Yes. Endor Labs has a free tier, so you can try it without paying. Securiti starts at On request.
What is Endor Labs best used for?
Endor Labs is most often used for securing ai coding agent outputs before deployment, reducing sast false positives with reachability analysis, managing open source supply chain risk, enforcing security policies in ci/cd pipelines. Of those, securing ai coding agent outputs before deployment and reducing sast false positives with reachability analysis are not what Securiti is typically brought in for.
What can Endor Labs do that Securiti cannot?
Endor Labs covers AI coding agent governance, SAST scanning, Secrets detection, Reachability analysis. Securiti covers Sensitive data discovery, Data security posture management, Data access intelligence, AI and LLM governance.

Answered from the vendors’ own pages

Endor Labs: What is the difference between Endor Labs Developer and paid tiers?

Developer tier is free and provides local scanning via MCP server with read-only vulnerability access and no UI. Paid tiers (Core and Pro) add team features like policy enforcement, enterprise integrations, reporting, and scan history.

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.

Endor Labs: How does Endor Labs define seats for pricing?

Seats are calculated per contributing developer (those with commits in monitored repositories within the last 90 days). Volume discounts apply as team size grows.

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.

Endor Labs: Does Endor Labs support on-premises deployment?

The platform is cloud-based SaaS by default. Enterprise customers should contact sales to discuss custom deployment options.

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.

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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