Cybersecurity · head to head
Sardine vs Securiti

Sardine
Cybersecurity
Device intelligence and behaviour biometrics for fraud and compliance
- From
- On request
- Rated
- -

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: Sardine signal quality depends on the SDK being embedded in your own web and mobile clients, so fraud improvements become dependent on your app release cycle and any coverage gap is a blind spot.; 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: Sardine covers Device intelligence, Securiti covers Sensitive data discovery.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Sardine and Securiti actually diverge.
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 Sardine
- Device intelligence
- Behaviour biometrics
- Scam detection
- Onboarding risk scoring
- AML transaction monitoring
- Dispute and chargeback handling
- Rules editor
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.
Sardine
- A neobank losing money to authorised push payment scams where the customer genuinely approved the transfernot Securiti
- A crypto exchange trying to detect accounts being operated by remote access rather than by their ownernot Securiti
- A fintech seeing synthetic identity signups that pass document verification but share device characteristicsnot Securiti
- A lender wanting first party fraud signals at application time that a credit bureau file does not containnot 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 Sardine
- A privacy team automating deletion requests across dozens of systems where the hard part is knowing where a person appears at allnot Sardine
- A security team that needs to find sensitive data sitting in over-permissive cloud buckets and warehouse tables before an auditor doesnot Sardine
- A company putting internal data into retrieval-augmented AI applications and needing to prove that regulated fields are not reaching the modelnot Sardine
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Sardine
- Signal quality depends on the SDK being embedded in your own web and mobile clients, so fraud improvements become dependent on your app release cycle and any coverage gap is a blind spot.
- Behavioural and device telemetry collection needs a documented lawful basis under GDPR, and EU privacy reviews frequently delay rollouts that were scoped as engineering work.
- Pricing is per session or per active user, so a consumer product with many low value sessions pays in proportion to traffic rather than to fraud exposure.
- As a younger private company it lacks the enforcement-tested audit history that a bank examiner expects, which makes it a harder sell inside a regulated bank than inside a fintech.
- It is strongest on session-time signals and weaker as a system of record for long horizon AML typologies, so larger institutions end up running it alongside a traditional monitoring platform rather than instead of one.
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
Sardine
On request- Sardine$undefined/year
- Priced per user session or per monthly active user
- Annual contract with volume commitment
- SDK for web, iOS and Android
Securiti
On request- Data and AI Command Centre$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 Sardine if
- You need device intelligence.
- You work on Web, iOS, Android.
- You also want behaviour biometrics.
Choose Securiti if
- You need sensitive data discovery.
- You also want data security posture management.
Questions people ask
- Is Sardine or Securiti better?
- Neither clearly leads. Sardine 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, Sardine or Securiti?
- Sardine starts at On request and Securiti at On request.
- Does Sardine or Securiti run on more platforms?
- Sardine runs on Web, iOS, Android. Securiti runs on Web.
- What is Sardine best used for?
- Sardine is most often used for a neobank losing money to authorised push payment scams where the customer genuinely approved the transfer, a crypto exchange trying to detect accounts being operated by remote access rather than by their owner, a fintech seeing synthetic identity signups that pass document verification but share device characteristics, a lender wanting first party fraud signals at application time that a credit bureau file does not contain. Of those, a neobank losing money to authorised push payment scams where the customer genuinely approved the transfer and a crypto exchange trying to detect accounts being operated by remote access rather than by their owner are not what Securiti is typically brought in for.
- What can Sardine do that Securiti cannot?
- Sardine covers Device intelligence, Behaviour biometrics, Scam detection, Onboarding risk scoring. Securiti covers Sensitive data discovery, Data security posture management, Data access intelligence, AI and LLM governance.
Answered from the vendors’ own pages
Sardine: Does Sardine do document verification?
It focuses on device, behavioural and transaction signals, and integrates identity verification providers rather than being one. Treat it as complementary to a KYC vendor.
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.
Sardine: What does it need from us to work?
An SDK in your web and mobile applications plus transaction feeds. Without the client side collector you lose the signals that differentiate it.
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.
Sardine: Is pricing published?
No. It is quoted, typically per session or per monthly active user with an annual volume commitment.
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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