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Generative AI: Shaping a New Future for Fraud Prevention
This article explores how generative AI affects fraud detection by reducing false positives and dynamically adapting to changing fraud patterns. This combination offers a potent preventive solution when integrated with machine learning. The efficacy and scalability of fraud prevention initiatives are enhanced by this innovative approach.
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What Is Account Creation Fraud? Complete Guide to Detection and Prevention
In this article, we'll take a look at the re-emergence of account creation fraud, and how this type of attack works. Then we'll turn our attention to the impact that this is already having on the way that companies secure their identity management systems, the effects of security measures like virtual private networks (VPN) and password managers, along with what the future will bring.
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Fraud Detection Using Random Forest, Neural Autoencoder, and Isolation Forest Techniques
In this article, the authors discuss how to detect fraud in credit card transactions, using supervised machine learning algorithms (random forest, logistic regression) as well as outlier detection approaches using isolation forest technique and anomaly detection using the neural autoencoder.
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Article Series: An Introduction to Machine Learning for Software Developers
Get an introduction to some powerful but generally applicable techniques in machine learning for software developers. These include deep learning but also more traditional methods that are often all the modern business needs. After reading the articles in the series, you should have the knowledge necessary to embark on concrete machine learning experiments in a variety of areas on your own.