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Feedzai

https://medium.com/feedzaitech · 10 posts · history since 2024 · active

7 Apr

João Bernardo Narciso 8 min read

Uncovering the Shape of Fraud with Cosmos Explorer: Visual Metaphors Behind Millions of Transactions The Data Visualization Research team is developing Cosmos Explorer, an interface that leverages universe-related visual metaphors to convey information about the billions of transactions processed by Feedzai. Pedro Cruz, professor at Northeastern University, partnered with Feedzai to bring this idea to life by contributing with his…

datavizfrauddesignresearchfraud-detection

19 Jan

João Palmeiro 6 min read

Benchmark It Yourself (BIY): Preparing a Dataset and Benchmarking AI Models for Scatterplot-Related Tasks When we need to visualize and interact with millions, or even just thousands, of individual points while analyzing data, we typically resort to rendering them in the browser using a canvas . The other common approach for the web, SVG, doesn’t scale when the number of…

outlier-detectionclusteringdata-visualizationartificial-intelligencelarge-language-models

25 Nov 2025

Jean Alves 13 min read

By Jean V. Alves and Ferran Pla Fernández Moving beyond binary classification provides novel insights. In the real world, scams rarely present themselves in black and white. Fraudsters exploit nuance, impersonate legitimate brands, and mask malicious intent with seemingly ordinary behavior. That’s why Feedzai has launched ScamAlert (patent pending), a Generative AI-based system innovating on the current paradigm of scam…

large-language-modelsfinancial-fraudfraud-preventioncomputer-visionmachine-learning

3 Oct 2025

Jacopo Bono 12 min read

Introduction Over the years, we have evolved from using simple, often rule-based algorithms to sophisticated machine learning models. These models are incredibly good at finding patterns in large datasets, but due to their complexity it is frequently challenging for a human to understand why a certain input leads to its respective output. This is especially problematic in areas where high-stakes…

researchconcept-learningcausalitydeep-learningexplainability

25 Jul 2025

Sofia Guerreiro 8 min read

By Sofia Guerreiro, Ricardo Ribeiro Pereira, Iker Perez, Jacopo Bono Detecting financial fraud is like finding a moving needle in a shifting haystack . Fraud accounts for a tiny fraction of financial transactions, often less than 0.1%. At the same time, fraudsters are constantly adapting their tactics to evade detection. And this happens within a live and dynamic environment, where…

machine-learningfraud-detectionresearchnetwork-intelligencefeedzai

17 Mar 2025

João Palmeiro 6 min read

Data scientists use different Jupyter notebooks every day — ranging from disposable ones for quick tasks to those shareable with clients. Over time, more and more notebooks accumulate, making it increasingly difficult to reuse them in whole or in part. To mitigate this problem and make the most relevant pieces of code quickly accessible to every data scientist, we developed…

jupyterlabpythondata-sciencejupytersnippet

22 Nov 2024

Beatriz Feliciano 4 min read

Every year, millions of people fall victim to financial fraud. In 2023, the losses tied to this type of crime were estimated at US$159 billion just in the US , with some people losing all of their retirement savings to scammers . However, the impacts of this issue stretch beyond someone’s finances. It can also impact a victim’s life in…

fraud-investigationresearchfinancial-frauddata-visualizationdata-analysis

4 Oct 2024

Ricardo Ribeiro Pereira 9 min read

Digital systems have become deeply integrated into many aspects of modern life, particularly within the financial sector. While digital banking simplifies day-to-day operations for clients, it also creates new opportunities for malicious actors to exploit these systems. As a result, money laundering has grown particularly prevalent due to this digital expansion. Banks are required to monitor for money laundering activities…

gansmoney-launderingfeedzaigenairesearch

12 Aug 2024

Sérgio Jesus 9 min read

By Sérgio Jesus, Inês Silva, Pedro Saleiro, Hugo Ferreira, Pedro Bizarro In this blog post we will visit Aequitas Flow , an Open-Source framework designed to run complete and standardized experiments of Fair ML algorithms. We encourage you to try Aequitas Flow with the Google Colab Notebooks, which are available in the project’s GitHub repository . This blog post is…

responsible-aifairnessopen-sourceresearchmachine-learning

21 Jun 2024

Javier Liébana 13 min read

In the world of financial services, the bank or financial institution’s relationship with the customer relies on digital trust , which is anchored in two fundamental principles. First, it must ensure the person engaging through digital banking channels is genuinely the individual they claim to be. Second, it must confirm that this person is authorized to complete the intended financial…

feedzaidigital-trustonline-fraud-preventionmachine-learningresearch