Fundamentals of Fraud Prevention and Monitoring

Fundamentals of Fraud Prevention and Monitoring
Created by Vasco Patrício | Last updated 9/2021
Duration: 3h 21m | 6 sections | 48 lectures | Video: 1280×720, 44 KHz | 1.8 GB
Genre: eLearning | Language: English + Sub

The fundamentals of fraud prevention and monitoring, in theory and practice.

How fraud is performed and prevented in general

An extensive list of fraud prevention techniques of different categories and purposes

How fraud prevention strats are assembled and monitored

None at all!

WHY;FRAUD;PREVENTION

Understanding how fraud is committed – and especially how it’s prevented – is not easy.

There are countless techniques to take into account. Perpetrators can be of different types and use different approaches.

For anyone aiming to know more about fraud prevention – whether as a fraud monitoring professional, a payments professional, or any other type of professional that wants to master the theory and practice of fraud prevention, finding the right information is crucial.

Unfortunately, most fraud prevention courses nowadays don’t fit the minimum requirements.

Either the information is too acadal and not something you can put into practice, or there are no specific examples, or information is just missing.

In a world where information must be constantly updated, it’s hard to find a reliable information source for this type of course.

And this has consequences not just for your career, but yourself personally as well.

What happens when we don’t have enough information (or the adequate format) to master fraud prevention

We become confused by the myriad fraud prevention techniques and types of systems;

We can’t properly identify when to use a certain technique to prevent a certain type of fraud;

We become frustrated and irritated that we don’t know why a system works, or why it doesn’t;

We can’t properly identify why a technique works or not;

We won’t know how to optimize a specific fraud prevention solution (or why it’s not optimized) – both in terms of people and machine problems;

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