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Cybersecurity · head to head

Securiti vs Skyflow

Securiti logo

Securiti

Cybersecurity

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

From
On request
Rated
-
Skyflow logo

Skyflow

APIs

Data privacy vault that holds sensitive records outside your own systems

From
On request
Rated
-

The short version

  • Each has a real cost: 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.; Skyflow reported contracts near 195,000 US dollars a year with a platform fee before usage put this out of reach of early stage companies, which are precisely the ones whose architecture is still cheap to change.
  • They diverge on capability: Securiti covers Sensitive data discovery, Skyflow covers Tokenised storage.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Securiti and Skyflow actually diverge.

Attributes where Securiti and Skyflow differ
AttributeSecuritiSkyflow
PlatformsWebAPI, Web, Self-hosted
CategoryCybersecurityAPIs

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated).

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 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

Only in Skyflow

  • Tokenised storage
  • Polymorphic encryption
  • Field level access policies
  • Data residency
  • Secure functions
  • PCI scope reduction
  • Detokenisation gateway
  • Audit trail

What people use each for

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

Securiti

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

Skyflow

  • A fintech that wants card and bank account data out of its own infrastructure so its application servers leave PCI DSS assessment scopenot Securiti
  • A company entering India or the EU with data localisation obligations that would otherwise require standing up regional databases and operationsnot Securiti
  • A health technology business that needs protected health information isolated from the analytics stack while still supporting aggregate reportingnot Securiti
  • An engineering team that wants support agents to see masked identifiers and payment services to see real ones, enforced centrally rather than in every servicenot Securiti

Where each one falls short

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

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.

Skyflow

  • Reported contracts near 195,000 US dollars a year with a platform fee before usage put this out of reach of early stage companies, which are precisely the ones whose architecture is still cheap to change.
  • Every read of a protected field becomes a network call to a third party, so latency and an external availability dependency enter paths that were previously local database reads, and outage planning has to account for a vendor you do not control.
  • Analytics and joins on vaulted data are constrained; work that was a simple SQL join now happens through secure functions or on tokens, and data teams routinely discover this after the engineering team has committed.
  • Unwinding the vault later is a rewrite rather than a migration because tokens are threaded through every service, so the switching cost climbs steadily and the negotiating position at renewal weakens with each release.
  • Scope reduction is an architectural claim your own assessor must accept, so the audit saving is real only if the implementation genuinely keeps sensitive values off your systems, and partial implementations that leave a cache or a log line in place deliver the cost without the benefit.

Pricing, plan by plan

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

Skyflow

On request
  • Skyflow Data Privacy Vault$undefined/year
    • Platform fee plus usage by data subject count
    • Priced additionally per data residency region
    • PCI Level 1, SOC 2 Type 2, ISO 27001 and HIPAA coverage

Which should you pick?

Choose Securiti if

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

Choose Skyflow if

  • You need tokenised storage.
  • You work on API, Web, Self-hosted.
  • You also want polymorphic encryption.

Questions people ask

Is Securiti or Skyflow better?
Neither clearly leads. Securiti starts at On request and Skyflow at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Securiti or Skyflow?
Securiti starts at On request and Skyflow at On request.
Does Securiti or Skyflow run on more platforms?
Securiti runs on Web. Skyflow runs on API, Web, Self-hosted.
What is Securiti best used for?
Securiti is most often used for an enterprise that must answer, within days of a breach, exactly whose regulated data was in the affected store and in which jurisdictions, a privacy team automating deletion requests across dozens of systems where the hard part is knowing where a person appears at all, a security team that needs to find sensitive data sitting in over-permissive cloud buckets and warehouse tables before an auditor does, a company putting internal data into retrieval-augmented ai applications and needing to prove that regulated fields are not reaching the model. Of those, an enterprise that must answer, within days of a breach, exactly whose regulated data was in the affected store and in which jurisdictions and a privacy team automating deletion requests across dozens of systems where the hard part is knowing where a person appears at all are not what Skyflow is typically brought in for.
What can Securiti do that Skyflow cannot?
Securiti covers Sensitive data discovery, Data security posture management, Data access intelligence, AI and LLM governance. Skyflow covers Tokenised storage, Polymorphic encryption, Field level access policies, Data residency.

Answered from the vendors’ own pages

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.

Skyflow: Does Skyflow really take my systems out of PCI scope?

It can, if card data never touches your infrastructure and the detokenisation happens at the boundary. Your QSA has to agree the design, so validate the architecture with your assessor before signing.

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.

Skyflow: What does it cost?

Nothing is published. Reported annual contracts sit around 195,000 US dollars, built from a platform fee plus usage by data subject count and additional charges per data residency region.

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.

Skyflow: How does it help with data localisation?

Records can be pinned to a specified region, so an Indian or EU residency requirement is met by the vault rather than by you running regional databases and operations teams.

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.

Skyflow: Can I still run analytics on vaulted data?

Partly. Aggregates and comparisons are supported through polymorphic encryption and secure functions, but arbitrary joins against other datasets are harder than they were, and this is the most common late surprise.

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