Transaction Security

CEO Interviews
Nuno Sebastiao, Feedzai
Please describe Feedzai’s business to us.
Feedzai was founded by data scientists and aerospace engineers with one powerful mission: make commerce safe for business customers
and create a better experience for their consumers through artificially intelligent machine learning. The mightiest companies in the world —
including payment processors, banks and retailers — use Feedzai’s anti-fraud technology to keep commerce moving safely.
How exactly is Feedzai applying machine learning and big data analysis to combat fraud?
Nuno Sebastiao
“Feedzai was
founded… with
one powerful
mission: make
commerce safe for
business
customers and
create a better
experience for
their consumers
through artificially
intelligent machine
learning.”
Our software itself recognizes what’s happening in the real world, how it’s different from what happened yesterday, and adjusts its responses
accordingly. Feedzai’s approach:
• Using untapped data: Nearly all businesses have dormant or data in silos. Feedzai has built from the ground up a platform that
ingests more kinds of data faster than anything else that is available for the financial services industry. This speed advantage
translates into better analytics capabilities. For example, dormant data such as 3 years of historical transactions can be transformed
into predictive forward-looking insights about what is likely to happen next.
• Clicks not code: By abstracting the underlying data and technology complexities, we allow every fraud and risk analyst to do the work
of advance data scientists. Furthermore, Feedzai was built by data scientists for data scientists. For all users, Feedzai’s tools make
handling big data possible via intuitive graphical interfaces without users having to learn a new programming language.
• Cloud or data centers: Feedzai’s machine learning technology can be “on-premise” installed in data centers, or accessed as a
service via an API. Other solutions provide one or the other, while Feedzai’s data- and channel-agnostic architecture is a response to
the blurring of the consumer experience between on- and off-line worlds.
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