Cybersecurity · head to head
Feedzai vs FRISS

Feedzai
Cybersecurity
Real-time transaction fraud and financial crime detection for banks and payment processors
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Feedzai pricing is per transaction with an annual minimum, so a bank with seasonal or growing volume commits to a floor it may not use and pays overage above the band.; FRISS no pricing plans, tiers, or costs are published on the website
- They diverge on capability: Feedzai covers Real-time scoring, FRISS covers Underwriting risk scoring.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Feedzai and FRISS actually diverge.
Identical on both: starting price (On request), 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 Feedzai
- Real-time scoring
- Rule and model hybrid
- Case manager
- Behavioural biometrics
- Model explainability
- Deployment options
Only in FRISS
- Underwriting risk scoring
- Claims fraud detection
- Network analysis
- Real-time decisioning
- Third-party data enrichment
- Case management
- Predictive analytics
- Compliance monitoring
What people use each for
The jobs each tool is most often brought in to do.
Feedzai
- A bank joining an instant payments scheme where transfers are irrevocable and post-hoc recovery is impossiblenot FRISS
- A card issuer whose existing rules engine cannot be changed without a release, so fraud waves run for daysnot FRISS
- An acquirer needing per-merchant risk models rather than one portfolio-wide modelnot FRISS
- A bank required by its regulator to explain automated declines to customers, which rules out opaque scoringnot FRISS
FRISS
- Fraud detectionnot Feedzai
- Risk assessmentnot Feedzai
- Underwriting automationnot Feedzai
- Claims investigationnot Feedzai
- Compliancenot Feedzai
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Feedzai
- Pricing is per transaction with an annual minimum, so a bank with seasonal or growing volume commits to a floor it may not use and pays overage above the band.
- It sits in the authorisation path, which makes every upgrade a change-controlled event with rollback plans, and the operational burden falls on the bank rather than the vendor.
- Out of the box models need months of the customer own labelled fraud history before they beat the rules they replace, so the value case starts late.
- AML and fraud are licensed as separate modules, so institutions expecting one platform fee find the transaction monitoring capability is a second line item.
- The buyer profile is large institutions, so smaller banks and fintechs face minimums that make per-transaction economics unattractive below significant scale.
FRISS
- No pricing plans, tiers, or costs are published on the website
- Requires direct contact through 'Let's talk' call-to-action for pricing inquiries
Pricing, plan by plan
Feedzai
On request- Feedzai Financial Crime Platform$undefined/year
- Priced by transaction volume with annual minimum commitment
- Modules for fraud, AML and account opening licensed separately
- Cloud, private cloud and on-premises deployment
FRISS
On request- Underwriting$undefined/year
- Risk scoring
- Application fraud detection
- Real-time assessment
- Claims$undefined/year
- Claims fraud detection
- Network analysis
- Investigation prioritization
- Enterprise Platform$undefined/year
- All modules
- Custom models
- Advanced analytics
Which should you pick?
Choose Feedzai if
- You need real-time scoring.
- You work on Web, Linux.
- You also want rule and model hybrid.
Choose FRISS if
- You need underwriting risk scoring.
- You work on Web, Api.
- You also want claims fraud detection.
Questions people ask
- Is Feedzai or FRISS better?
- Neither clearly leads. Feedzai starts at On request and FRISS at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Feedzai or FRISS?
- Feedzai starts at On request and FRISS at On request.
- Does Feedzai or FRISS run on more platforms?
- Feedzai runs on Web, Linux. FRISS runs on Web, Api.
- What is Feedzai best used for?
- Feedzai is most often used for a bank joining an instant payments scheme where transfers are irrevocable and post-hoc recovery is impossible, a card issuer whose existing rules engine cannot be changed without a release, so fraud waves run for days, an acquirer needing per-merchant risk models rather than one portfolio-wide model, a bank required by its regulator to explain automated declines to customers, which rules out opaque scoring. Of those, a bank joining an instant payments scheme where transfers are irrevocable and post-hoc recovery is impossible and a card issuer whose existing rules engine cannot be changed without a release, so fraud waves run for days are not what FRISS is typically brought in for.
- What can Feedzai do that FRISS cannot?
- Feedzai covers Real-time scoring, Rule and model hybrid, Case manager, Behavioural biometrics. FRISS covers Underwriting risk scoring, Claims fraud detection, Network analysis, Real-time decisioning.
Answered from the vendors’ own pages
Feedzai: Can Feedzai run on-premises?
Yes. On-premises and private cloud deployments are supported, which is why it appears in markets where transaction data cannot legally leave the country.
FRISS: How does FRISS publish pricing information?
FRISS does not publicly disclose pricing on their website. The company directs interested parties to contact their sales team directly for pricing and licensing details.
SourceFeedzai: Does it cover AML as well as fraud?
It does, but transaction monitoring is a separately licensed module. Assume two line items if you want both.
FRISS: What pricing model does FRISS use?
FRISS does not specify their pricing model on publicly available pages, requiring direct contact with their sales team to discuss pricing structure and implementation costs.
SourceFeedzai: How fast are decisions?
Designed for the authorisation window, typically tens of milliseconds. This is the constraint that rules out batch scoring architectures.
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- FRISS vs Unit21
- FRISS vs ThetaRay
- FRISS vs Featurespace ARIC Risk Hub
- FRISS vs NICE Actimize
- FRISS vs Quantexa
- FRISS vs Sardine
- FRISS vs Silent Eight
- FRISS vs Transmit Security
- FRISS vs Fenergo
- FRISS vs Socure
- FRISS vs Sumsub
- FRISS vs iDenfy
- FRISS vs BeyondTrust
- FRISS vs Bitdefender VPN
- FRISS vs Burp Suite
- FRISS vs Check Point Software
- FRISS vs Cybereason Defense Platform
- FRISS vs Darktrace
- FRISS vs Duck Creek Policy
- FRISS vs Guidewire ClaimCenter
- FRISS vs Duck Creek
- FRISS vs Shift Technology
- FRISS vs Snapsheet Claims
- FRISS vs Origami Risk
- FRISS vs Majesco Policy for L&A
- FRISS vs Applied Epic
- FRISS vs Tarmika
- FRISS vs Insurity Suite
- FRISS vs Splice Software
- FRISS vs TurboRater
- FRISS vs Verisk
- FRISS vs Vertafore Content
- FRISS vs AgencyBloc
- FRISS vs Guidewire InsuranceNow
- FRISS vs Guidewire PolicyCenter

