July 23, 2020

Machine learning can stamp out internal banking fraud

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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 ...

July 02, 2019

How to measure the value of fraud mitigation

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Banks need to take a wide view when assessing the true return on their investment in fraud-mitigation software, writes Sebastian Aldeco

September 05, 2018

Four bank fraud trends particular to Europe

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Whether it’s rogue relationship managers in private banking, professional cyber criminals from Eastern Europe or banks’ inability to spot contactless fraud, Europe has its own specific set of ...

August 17, 2018

Digital banking fraud, machine learning, and digitization (Part 2/2)

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August 09, 2018

Digital banking fraud, machine learning, and digitization (Part 1/2)

digital banking fraud machine learning digitization

Digital banking fraud, machine learning, and digitization – NetGuardians’ Mine Fornerod interviews our Data Scientist Jérôme Bovay on the potential and challenges of machine learning technology and ...

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