Whitepapers

Maximizing Profit Efficiency as Overall Evaluation Criterion for Fraud Control

Learn about a novel way of evaluating fraud controls known as profit efficiency, and the advantages of adopting this metric.

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How to Choose a Machine Learning Platform for Risk

Feedzai compares and contrasts elements of machine learning systems to help merchants evaluate capabilities when assessing a new fraud detection platform.

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An Executive's Guide to the Evolution of Fraud Detection

DataVisor shares insights on how unsupervised analytics can offer merchants advantages over rules engines and supervised machine learning models.

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Driving Up Conversion with Effective Fraud Management

ACI looks at how eCommerce companies can achieve an optimal balance between mitigating risk and maximizing checkout conversion.

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Mitigating Threats Beyond Payment Fraud

Explore how organizations are addressing emerging types of fraud and abuse in this whitepaper from Sift Science and Forrester Consulting.

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The Future of Digital Payments in Europe

See what opportunities exist and which key challenges remain for three main payment types used across European online commerce, and why online transaction revenue billed via carrier billing is poised to increase sharply in the near future.

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A Primer to Machine Learning for Fraud Management

Feedzai looks at what machine learning can and cannot do, and how it can play an important role in helping companies combat increasingly sophisticated types of fraud.

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Solving the CNP False Decline Puzzle: Collaboration is Key

Ethoca presents key findings from their research into false positives and how both issuers and merchants handle payment declines.

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Breach Fear and What to Do About It

NuData Security looks at two key types of fraud, account takeovers and new account fraud, and how behavioral biometrics can prevent both.

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Account Fraud Infographic

NuData takes a sobering look at the staggering statistics associated with account takeover and new account fraud.

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