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Cybersecurity · head to head

Quantexa vs Securiti

Quantexa logo

Quantexa

Cybersecurity

Entity resolution and network analytics for financial crime investigation

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: Quantexa pricing is never published and lands in the seven figure range annually for a tier one deployment, so it is out of reach for mid-sized institutions no matter how well the analytics would fit.; 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: Quantexa covers Entity resolution, Securiti covers Sensitive data discovery.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Quantexa and Securiti actually diverge.

Attributes where Quantexa and Securiti differ
AttributeQuantexaSecuriti
PlatformsWeb, LinuxWeb

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 Quantexa

  • Entity resolution
  • Network generation
  • Contextual monitoring
  • Investigation workspace
  • Data fusion
  • Deployment on customer cloud

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.

Quantexa

  • A bank whose AML alert backlog is dominated by false positives and wants network context to close them fasternot Securiti
  • Sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholdernot Securiti
  • Merging customer records across retail, commercial and wealth divisions after an acquisition to see total exposurenot Securiti
  • A tax or benefits agency looking for organised fraud rings rather than individual claimantsnot 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 Quantexa
  • A privacy team automating deletion requests across dozens of systems where the hard part is knowing where a person appears at allnot Quantexa
  • A security team that needs to find sensitive data sitting in over-permissive cloud buckets and warehouse tables before an auditor doesnot Quantexa
  • A company putting internal data into retrieval-augmented AI applications and needing to prove that regulated fields are not reaching the modelnot Quantexa

Where each one falls short

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

Quantexa

  • Pricing is never published and lands in the seven figure range annually for a tier one deployment, so it is out of reach for mid-sized institutions no matter how well the analytics would fit.
  • Output quality is bounded by input data quality, and organisations without governed customer data spend the first phase of the programme fixing feeds rather than catching criminals.
  • Implementation typically requires a systems integrator and runs into quarters rather than weeks, so the business case has to survive a long period with no operational benefit.
  • The platform augments rather than replaces existing transaction monitoring, so you keep paying for the incumbent system alongside it and total compliance technology spend rises before it falls.
  • Skills are scarce; the platform needs people who understand both Spark scale data engineering and financial crime typologies, and those people are hard to recruit and easy to lose.

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

Quantexa

On request
  • Quantexa Platform$undefined/year
    • Entity resolution and network generation
    • Deployed in customer cloud tenancy
    • Priced by data volume and use case count

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 Quantexa if

  • You need entity resolution.
  • You work on Web, Linux.
  • You also want network generation.

Choose Securiti if

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

Questions people ask

Is Quantexa or Securiti better?
Neither clearly leads. Quantexa 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, Quantexa or Securiti?
Quantexa starts at On request and Securiti at On request.
Does Quantexa or Securiti run on more platforms?
Quantexa runs on Web, Linux. Securiti runs on Web.
What is Quantexa best used for?
Quantexa is most often used for a bank whose aml alert backlog is dominated by false positives and wants network context to close them faster, sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholder, merging customer records across retail, commercial and wealth divisions after an acquisition to see total exposure, a tax or benefits agency looking for organised fraud rings rather than individual claimants. Of those, a bank whose aml alert backlog is dominated by false positives and wants network context to close them faster and sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholder are not what Securiti is typically brought in for.
What can Quantexa do that Securiti cannot?
Quantexa covers Entity resolution, Network generation, Contextual monitoring, Investigation workspace. Securiti covers Sensitive data discovery, Data security posture management, Data access intelligence, AI and LLM governance.

Answered from the vendors’ own pages

Quantexa: Does Quantexa replace our transaction monitoring system?

No. It usually sits alongside it, adding network context to the alerts that system generates and to investigations.

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.

Quantexa: Where does our data go?

Into your own cloud tenancy in the normal deployment model. Quantexa does not require you to send customer data to a shared multi-tenant service.

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.

Quantexa: How is it priced?

Not publicly. Expect an annual subscription scaled by data volume and number of use cases, plus separate implementation cost.

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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