Market Overview

Feedzai Unveils AutoML: Automated Machine Learning That Fights Fraud in a Fraction of the Time


Feedzai AutoML allows for automated feature engineering, machine
learning model creation, and more, providing industry-leading results in
a fraction of the time

Feedzai announced today that it is bringing AutoML to the fraud space,
an industry first. By automating tasks such as feature engineering and
machine learning model creation, data scientists are now able to create
fraud prevention solutions as much as 50 times faster than is possible
with the traditional data science workflow.

This press release features multimedia. View the full release here:

(Graphic: Business Wire)

(Graphic: Business Wire)

Increasingly intelligent fraud attacks require teams to act faster than
ever to fight evolving fraud risks on multiplying fronts. Feedzai AutoML
enables teams to deliver results faster and to quickly expand to new use
cases, channels, and geographies.

Now, data scientists can quickly generate the most relevant features and
models, and adapt more quickly to fast-evolving fraud schemes and attack
vectors. Feedzai AutoML works by automating and integrating the most
repetitive and time-consuming steps in the data science pipeline,
freeing data scientists to perform more consequential tasks. At a time
when the demand for data scientists is growing more quickly than ever,
Feedzai AutoML allows banks and other financial institutions to
massively augment their data science teams.

"We've proven that Feedzai AutoML can get virtually the same results in
a few hours, that would normally take a team of data scientists weeks to
achieve," says Pedro Bizarro, Feedzai Chief Science Officer and
co-founder. "This is a ground-breaking advancement for Feedzai, but even
more so, it's something that will provide a substantial competitive
advantage to our customers."

Feedzai AutoML cutting-edge innovation relies on an advanced type of
semantic-based automatic feature engineering, where the machine
recognizes the semantics associated to each field enabling the engine to
automatically build context-aware features. This functionality is
greatly empowered by Feedzai AutoML model selection capabilities: the
most competitive algorithms are automatically trained, optimized and
compared so that the best models are recommended at the end of the

Feedzai AutoML follows the April
release of Feedzai OpenML
, which allows data scientists to import
open source and third party tools to the Feedzai Risk Engine. Feedzai
AutoML and OpenML work in conjunction, creating flexibility and speed
previously unseen in the fraud prevention industry.

"Our customers spoke, and we listened," says Nuno Sebastiao, Feedzai CEO
and co-founder. "AutoML and OpenML are the two latest examples of
Feedzai's dedication to bringing the market the best possible fraud
prevention solutions. In the months to come, you can expect to see more
and more of these kinds of innovations."

About Feedzai

Feedzai is the market leader in fighting fraud with AI. We're coding the
future of commerce with today's most advanced risk management platform
powered by big data and machine learning. Founded and developed by data
scientists and aerospace engineers, Feedzai has one mission: to make
banking and commerce safe. The world's largest banks, processors, and
retailers use Feedzai's fraud prevention and anti-money laundering
products to minimize risk, while optimizing customer experience. See
more at

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