Whitepapers

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.

Read more »

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.

Read more »

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.

Read more »

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.

Read more »

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.

Read more »

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.

Read more »

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.

Read more »

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.

Read more »

Future of Device Fingerprinting

Simility discusses recent innovations to enhance the efficacy of device fingerprinting and several use cases where this technology can help uncover fraud and abuse.

Read more »

What's Next for Machine Learning

Feezai explains why ethics and explanations need to play a role in machine learning systems, and proposes a novel "Code of Ethics" for artificial intelligence.

Read more »