Whitepapers

Why Machine Learning for Fraud Detection?

Ravelin examines the process of moving to a machine learning platform, including the methodology behind scoring and risk thresholds, and discusses the impact machine learning is having on fraud analysts.

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Making the Move to Dynamic Multifactor Authentication

iovation takes a detailed look at multi-factor authentication and explains that it can, when used in a dynamic context, offer enhanced security and a better user experience.

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Staying a Step Ahead of the Fraud Footprint

Acapture and Sift Science explore top fraud threats for online merchants and discuss how machine learning can be leveraged to combat these challenges.

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Fighting Fraud Without Wounding Customer Experience

Simility explores the intersection of fraud prevention and customer experience, and examines the impact risk mitigation can have on customer trust.

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Five Emerging eCommerce Fraud Threats and How to Stop Them

Whitepages examines key eCommerce and mobile commerce risk trends, and ways online businesses can help protect themselves.

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Mission Critical Artificial Intelligence & Machine Learning

Discover the advantages and drawbacks of key machine learning and artificial intelligence techniques, and the implications these characteristics have for fraud and risk mitigation.

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Visa Chargeback Rules

DIMOCO highlights key changes in Visa's revamped rules on chargebacks, known as Visa Claims Resolution, or VCR, and shares several insights on how merchants can help reduce the volume of chargebacks they receive.

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J.P. Morgan Country Insights -- The Changing Dynamic of Payments in Europe

Gain perspective on the growth of eCommerce in 11 dynamic European markets and the rising popularity of alternative payment methods.

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Online Marketplace Fraud

Simility explores common fraud patterns targeting online marketplaces and details three ways in which companies can better identify suspect users and transactions.

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Machine Learning: The Secret Ingredient for Detecting and Preventing Fraud

Simility's Chief Technology Officer shares insights on how machine learning can be beneficial to eCommerce companies and why this technology is playing an increasingly important role in fraud detection and mitigation.

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