Combating New Account Fraud in the Digital Age
The COVID-19 pandemic has ushered in unprecedented challenges for many. Individuals’ daily lives and businesses have been disrupted, and personal ...
Tag: Machine Learning
Creating AI Training Data Using Synthetic Data Techniques
Mercator Advisory Group members first heard about GANs and synthetic data reading Mercator’s machine learning primer published in April 2017. ...
How to Prevent Fraud in a Changing Commerce Landscape
A company’s ability to identify and prevent fraud has always been critical. But now, with COVID-19 forcing more commercial activity ...
Insider Breaches Remain a Major Concern, but New Email Protections Can Help
There are many layers within today’s security landscape. The most talked about in cybersecurity is, understandably, often the technical layer. ...
Can Machine Learning Reduce Fraud below the SCA Threshold and Eliminate the Need for Authentication?
This article, written by the supplier feedzai, describes how machine learning evaluates the data in a payment transaction and can ...
AI Can Help Manage Payments Law
An interesting article in PaymentsSource written by the founder and CEO of InCloudCounsel, a 2011 San Francisco based startup that ...
Regulators Begin to Accept Machine Learning to Improve AML, But There Are Major Issues
This wide-ranging article identifies how regulators have slowly opened up to accept the use of machine learning models as a ...
Securing and Managing the Business Data You Accumulate Is Getting Harder and Increases Your Liability
How your firm manages data will shift dramatically due to the impact of machine learning, ISO 20022, and new privacy ...
Mastercard Security Solutions Get Broader, Deeper, and Connected by AI through Acquisitions
This acquisition of RiskRecon continues Mastercard’s expansion to offer a wide range of cybersecurity solutions tied together by leveraging machine ...
Leveraging Data and Authentication: Mastercard’s Approach to Combatting Digital Fraud
Throughout history, merchants have had to contend with fraud. So long as there’s money to be made, criminals will try ...
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