Whitepapers
Dynamic Authentication: Aligning the Authentication Experience with Risk, Reputation, and Reward
Companies can balance security needs and user experience by replacing static authentication protocols with adaptable, multi-layered approaches.
The Next Evolution of Authentication
Take a closer look at the characteristics of various authentication techniques and how behavioral biometrics can help companies protect both their customers and their data.
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.
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.
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.
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.
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.
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.
The Evolution of Fraud in the Insurance Industry
Take an inside look at the unique challenges and fraud patterns impacting insurers in this paper from iovation.
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.