---
title: NG Blog | Joel Winteregg
description: Group Chief Executive Officer
---

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## Joel Winteregg

![](https://blog.netguardians.ch/hubfs/Team/ng-square-portrait-joel-winteregg.jpg)

Group Chief Executive Officer

Find me on:

<https://www.linkedin.com/in/jwinteregg/>

### Recent Posts

March 31, 2022

# [AI-powered fraud mitigation helps new banks attract and retain customers](https://blog.netguardians.ch/ai-powered-fraud-mitigation-helps-new-banks-attract-and-retain-customers)

[![](https://blog.netguardians.ch/hubfs/Banners/ng-news-ai-01.jpg)](https://blog.netguardians.ch/ai-powered-fraud-mitigation-helps-new-banks-attract-and-retain-customers)

A new smart software to spot more fraud and cut false alerts, helping banks improve customer service and keep a lid on costs. Writes Joël Winteregg. Whether you’re a venture capital-backed neo bank ...

<https://blog.netguardians.ch/ai-powered-fraud-mitigation-helps-new-banks-attract-and-retain-customers>

February 04, 2022

# [Phishing scams are preventable. Here is how.](https://blog.netguardians.ch/phishing-scams-are-preventable-here-is-how)

[![](https://blog.netguardians.ch/hubfs/Banners/Building_26.jpg)](https://blog.netguardians.ch/phishing-scams-are-preventable-here-is-how)

The only way banks will prevent phishing attacks is to use cutting-edge technology to build customer profiles so accurate that they can detect fraudsters impersonating them, writes Joël Winteregg. At ...

<https://blog.netguardians.ch/phishing-scams-are-preventable-here-is-how>

July 23, 2020

# [Machine learning can stamp out internal banking fraud](https://blog.netguardians.ch/machine-learning-can-stamp-out-internal-banking-fraud)

[machine learning](https://blog.netguardians.ch/tag/machine-learning) [internal fraud](https://blog.netguardians.ch/tag/internal-fraud)

[![](https://blog.netguardians.ch/hubfs/Banners/Machine_learning_02.jpg)](https://blog.netguardians.ch/machine-learning-can-stamp-out-internal-banking-fraud)

By analyzing the behavior of staff, customer and the transaction itself, banks can spot and stop not only known fraud types but also new frauds, writes Joël Winteregg It takes on average 16 months to ...

<https://blog.netguardians.ch/machine-learning-can-stamp-out-internal-banking-fraud>

April 02, 2019

# [How to overcome overfitting in machine learning based fraud mitigation for banks](https://blog.netguardians.ch/how-to-overcome-overfitting-in-machine-learning-based-fraud-mitigation-for-banks)

[technology](https://blog.netguardians.ch/tag/technology)

[![ng-news-abstract-11@2x](https://blog.netguardians.ch/hubfs/Banners/ng-news-abstract-11@2x.jpg)](https://blog.netguardians.ch/how-to-overcome-overfitting-in-machine-learning-based-fraud-mitigation-for-banks)

AI fraud-mitigation solutions often focus on a few types of fraud and become incapable of spotting new ones – known as ‘overfitting’. Banks need far more instances of fraud than a single bank can ...

<https://blog.netguardians.ch/how-to-overcome-overfitting-in-machine-learning-based-fraud-mitigation-for-banks>

[All posts](https://blog.netguardians.ch/all)

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