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Cybersecurity · head to head

Feedzai vs LogicManager

Feedzai logo

Feedzai

Cybersecurity

Real-time transaction fraud and financial crime detection for banks and payment processors

From
On request
Rated
-
Full reviewWebsite
LogicManager logo

LogicManager

Cybersecurity

Enterprise risk management priced as a flat fee with unlimited users

From
On request
Rated
-
Full reviewWebsite

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.; LogicManager the flat fee is quoted per organisation and not published, so the pricing model that makes LogicManager attractive still cannot be compared without a sales process.
  • They diverge on capability: Feedzai covers Real-time scoring, LogicManager covers Risk taxonomy.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Feedzai and LogicManager actually diverge.

Attributes where Feedzai and LogicManager differ
AttributeFeedzaiLogicManager
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 Feedzai

  • Real-time scoring
  • Rule and model hybrid
  • Case manager
  • Behavioural biometrics
  • Model explainability
  • Deployment options

Only in LogicManager

  • Risk taxonomy
  • Unlimited users
  • Risk assessments
  • Third-party risk
  • Internal audit
  • Policy management
  • Incident management
  • Advisory support

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 LogicManager
  • A card issuer whose existing rules engine cannot be changed without a release, so fraud waves run for daysnot LogicManager
  • An acquirer needing per-merchant risk models rather than one portfolio-wide modelnot LogicManager
  • A bank required by its regulator to explain automated declines to customers, which rules out opaque scoringnot LogicManager

LogicManager

  • A mid-sized bank or credit union that needs every department head contributing to risk assessment without paying for a seat eachnot Feedzai
  • A risk team replacing a spreadsheet register that cannot show which controls a given vendor failure would affectnot Feedzai
  • An organisation preparing for a regulatory examination that must evidence a linked risk, control and issue trailnot Feedzai
  • A company consolidating separate vendor risk, policy and audit tools onto one taxonomy so findings are not duplicatednot 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.

LogicManager

  • The flat fee is quoted per organisation and not published, so the pricing model that makes LogicManager attractive still cannot be compared without a sales process.
  • Configuration depth means the taxonomy has to be designed properly before rollout, and organisations that skip that step end up with a structure that cannot answer the linkage questions the tool exists to answer.
  • Reporting and dashboarding are functional rather than flexible, and teams wanting bespoke board reporting commonly export to Power BI, which reintroduces the manual step they were removing.
  • Quantitative risk modelling is limited compared with specialist tools, so organisations needing Monte Carlo style loss simulation will need something else alongside it.
  • The user interface is dated relative to newer compliance automation tools, and infrequent business users often need repeat training, which erodes the participation benefit that unlimited licensing is supposed to deliver.

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

LogicManager

On request
  • LogicManager Platform$undefined/year
    • Fixed annual fee, unlimited users
    • Risk, audit, vendor, policy and incident modules
    • Advisory analyst support included

Which should you pick?

Choose Feedzai if

  • You need real-time scoring.
  • You work on Web, Linux.
  • You also want rule and model hybrid.
Feedzai review

Choose LogicManager if

  • You need risk taxonomy.
  • You also want unlimited users.
LogicManager review

Questions people ask

Is Feedzai or LogicManager better?
Neither clearly leads. Feedzai starts at On request and LogicManager at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Feedzai or LogicManager?
Feedzai starts at On request and LogicManager at On request.
Does Feedzai or LogicManager run on more platforms?
Feedzai runs on Web, Linux. LogicManager runs on Web.
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 LogicManager is typically brought in for.
What can Feedzai do that LogicManager cannot?
Feedzai covers Real-time scoring, Rule and model hybrid, Case manager, Behavioural biometrics. LogicManager covers Risk taxonomy, Unlimited users, Risk assessments, Third-party risk.

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.

LogicManager: Is LogicManager really unlimited users?

Yes. It licences on a fixed annual fee covering the organisation rather than per seat, which is the main reason mid-market buyers pick it.

Feedzai: 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.

LogicManager: What does it cost?

Not published. Mid-market ERM platforms of this class typically sit in the low tens of thousands of dollars a year, quoted by scope.

Feedzai: How fast are decisions?

Designed for the authorisation window, typically tens of milliseconds. This is the constraint that rules out batch scoring architectures.

LogicManager: Is it a compliance automation tool like Drata?

No. It is enterprise risk management with audit and vendor risk, not continuous control monitoring for SOC 2 evidence collection.

LogicManager: How long does implementation take?

Weeks to a few months, far shorter than the enterprise GRC suites, provided the risk taxonomy is agreed up front.

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