11.09.2017 Views

PCM vol. 3 Issue 9

The September issue is focused on Regulations and Compliance with a great emphasis on PSD2. Payments and FinTech point of views from Retailers and Payment Service Providers.

The September issue is focused on Regulations and Compliance with a great emphasis on PSD2. Payments and FinTech point of views from Retailers and Payment Service Providers.

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THOUGHT LEADERS CORNER<br />

Edoardo Fiorentini<br />

Risk Management Expert<br />

Edoardo Fiorentini, known as Edo in the industry, is a risk expert with<br />

years of experience with some of the biggest players in the market.<br />

After publishing this book, he co-founded AI Detection, the smart fraud<br />

prevention that regroups all e-commerce buyers, sellers and solution<br />

providers to build a safer web.<br />

The book is a collection of fraudulent methods and the most<br />

obvious ways to prevent them. If there is even a single point<br />

in the book that makes you want to go back to your office and<br />

implement something, then you may need additional help<br />

from some of the leading companies out there.<br />

If you just had some laugh instead and nodded in few chapters,<br />

congratulations, either you are not the responsible of a risk<br />

prevention department, or you already knew it all!<br />

This book is not a guide but it may still teach a couple of things.<br />

Hopefully on how to protect your business better.<br />

Of course, names, places and companies had to be redacted to<br />

protect the innocents!<br />

I’ve asked few friends to write a story about a smart fraudster,<br />

how they did it, how they caught him. Many decided to go<br />

public with their full name. Others smelled possible issues<br />

with their companies and opted to be anonymous. Regardless<br />

of their specific name, you have few of the best stories out<br />

there, written by experts who are leaders of their markets. I<br />

want you to understand how smart fraudsters failed and I’m<br />

not challenging any fraudster here, I know how good they can<br />

be, but the others?<br />

The messages are simple:<br />

To my colleagues: watch out! You need to get better.<br />

To the wannabe-fraudsters: don’t even bother trying!<br />

Of course, AI is the vibe of the moment. Everyone has it or<br />

is planning to implement it. You can imagine my face when<br />

I asked for clarifications and got fed back a ML description.<br />

An Artificial Intelligence can LEARN and guess what, it’s a<br />

Machine. But then it will follow what it wants to do.<br />

I know that if I need a smart robot, I won’t give him too much<br />

freedom (Terminator anyone?), but if the AI is designed to be<br />

interested in something.<br />

The last few weeks saw me busy finding the right path towards<br />

this direction. An AI who thinks freely. An AI who can request<br />

access to different sources — “to check an idea”. An AI who<br />

can properly give a risk score based not only on data, but on<br />

intelligence. And I want it to be free for all the ones who can’t<br />

really afford an external provider.<br />

The first results are so encouraging that we had to check<br />

multiple times that were correct.<br />

If AI is the way to go, it becomes as important as having the<br />

right fraud analyst to support its continuous training.<br />

Therefore, I added few articles published before on the subject.<br />

You need to remember that your people are your treasure,<br />

your richness, the historical knowledge of your platform. Let<br />

them read my book if you think will help and hear them out.<br />

They may actually have some good ideas for your business!<br />

I doubt this will be the winning approach if we don’t get better<br />

in detecting and preventing fraud. I heard talking about<br />

Machine Learning and few more innovative solutions. I also<br />

tested few solutions and indeed, if you still have an old IBM<br />

System from 1980, these represent awesome improvements.<br />

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