Case Studies
Stop Costly Chargebacks While Protecting the Brand by Mitigating Account Takeover Risk
Simility discusses the growing problem of account takeovers, plus four solutions eCommerce companies can use to detect ATOs and protect themselves and their customers.
Online Ticketing Company Reduces Fraud and Chargebacks
See how a Brazilian online ticketing company was able to reduce its chargebacks and false positives by adding device fingerprinting and machine learning.
New Account Fraud -- Know the True Identity of Your Users
Learn about the rising problem of new account fraud and how online businesses can protect themselves.
esure Cuts Call Center Fraud by 40% with iovation
esure explains how the company leveraged iovation's solutions to dramatically reduce fraud originating from esure's contact centers.
Forrester Reports 321% ROI for Fortune 100 Company Using iovation
iovation summarizes the results a U.S.-based financial services issuer achieved after migrating to iovation's fraud prevention solutions.
Improve Your Customers' Experience and Your Fight Against Credit Fraud
iovation looks at the unique fraud types impacting credit issuers and how the company's solutions can help prevent fraud while ensuring a strong experience for legitimate customers.
Misconceptions About Building a Machine Learning Platform for Risk
Feedzai's Chief Technology Officer addresses five common misconceptions companies have about building their own machine learning platform.
Cracking Down on Online Fraud: What Law Enforcement Is Doing to Stop Fraudsters
Ravelin talks with the Dedicated Card and Payment Crime Unit (DCPCU) about what the DCPCU is doing to investigate and prosecute fraudsters both in the UK and abroad.
Stopping the Surge of Card Not Present Fraud in Retail Call Centers
Pindrop shares the results one global retailer attained after adopting Pindrop's anti-fraud solution for incoming call center phone calls.
iovation Helps Rated People Identify Fraudsters
See how one UK merchant was able to reduce fraud and promotional abuse by adding device identification to their fraud fighting platform.