Description de Feedzai

Feedzai is the market leader in fighting financial crime with AI. Global and regional banks, fintechs, processors and merchants use our fraud prevention and anti-money laundering products to safeguard trillions of dollars and manage risk while improving the customer experience. Feedzai offers both enterprise and packaged solutions to support the digital-first evolution for financial institutions of all sizes.

Qui utilise Feedzai ?

Financial institutions of all sizes and types including: global and regional banks, fintechs, acquirers, processors and merchants.

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Avis sur Feedzai

Note moyenne

Note globale
4,5
Facilité d'utilisation
3,5
Service client
5,0
Fonctionnalités
4,5
Rapport qualité-prix
4,3

Avis classés par taille de l'entreprise (nombre d'employés)

  • <50
  • 51-200
  • 201-1 000
  • >1 001

Trouver les avis classés par note

5
50%
4
50%
shmuel
head of fraud risk management (Israël)
Banque, 1 001-5 000 employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

Alternatives envisagées :

excellent product and staff

5,0 il y a 2 ans

Avantages :

the software is updated with all of the latest technology that are out there in the market. big data, machine learning, artificiall intelligent ect.. the product is flexible and can be custimsed as well as being configured for monitoring in severral dimenstions such as card level, merchant level, online banking ect..

Inconvénients :

it seems as the product was built to perrform better on cloud than on premiss

Marcio
Head of Fraud Prevention (Brésil)
Services financiers, 5 001-10 000 employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

A great tool full of potential to evolve a lot yet

5,0 il y a 2 ans

Commentaires : Feedzai's tools meet our demand for a tool to create/manage/control fraud prevention rules and cases.
With a year of use we have already achieved a lot of gain with the tool but we still have the feeling that the tool has the possibility of delivering much more.
We really hope to see a dashboard visualization session with our main KPIs and reports that show us something more, a Pulse with a better flow of rules creation, that involves fewer steps and more automation. And we expect a more fluid CaseManager, with quick loads and different possibilities for creating rules and customizations.

Avantages :

CaseManager The tool has a lot of useful things for everyday life. The set of queuing, use of SLAs and automated rules help us a lot to control the cases that we want to pay more attention to. The way we visualize each event, with the reference data always in view, and having just a few clicks on the historical cases of the same customer represents a very big gain in the time of analysis. Pulse The possibility of creating rules in any scenario we want, mainly due to metrics, is a very big advantage that Pulse provides us. In a few minutes we were able to create / edit a rule and place it in our production environment. It is also very good to have the possibility to leave rules turned off and to be triggered only in specific cases and in a short time.

Inconvénients :

CaseManager Automated rules need more attention, since they are not so flexible as to allow us to send the cases we want, according to the rule triggered, for example, for each queue. The performance reports of analysts / rules / events are very basic, providing only the minimum amount of information we need to measure performance. The reference data is not recognized if we do not send the customer's document, but we could recognize the customer with just the card data, for example. Pulse Although it is quick to create a rule and / or metric, it is costly. It involves many steps, creating fields in workflows, updating snapshots, several updates. I believe that some steps could be automated so that the user does not get lost in the process. For example, when creating a metric, it should not be necessary for the user to create a field in the workflow, but for it to be created automatically. And if we changed the name of a metric, it should be updated automatically as well. In the metrics panel, because the names are similar to each other, it's easy to get lost. It would be nice if we could see where each metric is being used. The space for developing the rules / metrics / maps also requires some attention. Many times there was no space to write the code and the visualization is confusing, with one field overlapping the other in the view, for example. The explanations of the rules have a character limitation. Therefore, we are very limited to very short explanations.

David
Head of Fraud and KYC (R.-U.)
Jeux d’argent et casinos, 10 000+ employés
Temps d'utilisation du logiciel : plus de deux ans
Source de l'avis

Great product for more sophisticated use cases

4,0 il y a 2 ans

Commentaires : Using Feedzai in an omnichannel environment it handles multiple data feeds with ease, using third party connections it still processes transactions at a great speed. The flexibility of the product means we are yet to find a fraud issue we can’t solve with Feedzai.

Avantages :

Feedzai has amazing flexibility and could be utilised in most decision making scenarios. The support team are fantastic and you feel product teams have a real passion for their product.

Inconvénients :

With great power comes great complexity, it would not be suitable for someone with little experience administering fraud products. The huge capabilities and performance do come with a fairly high cost but it’s not out of line with it’s main competitors.

Shaun
Fraud Strategy and Investigations Manager (R.-U.)
Jeux d’argent et casinos, 501-1 000 employés
Temps d'utilisation du logiciel : plus d'un an
Source de l'avis

Feedzai

4,0 il y a 2 ans

Commentaires : We have seen a reduction in fraud utilising Feedzai genome, it allows us to link fraudsters together quicker. It enables us to link together over 100 fraudsters from a previous attack.

Avantages :

The ability to build complex rules, aalthough the process isnt easy we can build almost any rule we like

Inconvénients :

Lack of reporting ability, and also how difficult it can be to build rules.