Reduce Fraud with Enhanced Risk-Based Authentication
Dai Nippon Printing (DNP) Reduces Card-Not-Present Fraud Rates
Dai Nippon Printing (DNP) is a Japanese printing company founded in 1876. With its printing and information strengths, the company has expanded into a wide variety of business fields over the years. Among them is acting as an Access Control Server (ACS) provider for credit card issuers. In that role, it authenticates card-not-present (CNP) payment transactions using a 3-D Secure (3DS) protocol.
DNP’s card issuer clients had raised concerns on the alarming trend of fraudsters using sophisticated spoofing techniques to pose as legitimate consumers. On this, DNP decided to fortify its transaction screening process by tapping on LexisNexis® ThreatMetrix® to enhance their risk-decisioning ability as part of the company’s 3DS workflow.
By leveraging dynamic, digital identity data relating to devices, current and historic user behavior, location data, and transaction details—it could reliably identify high-risk transactions in near real-time. This will allow card issuers to decide whether to accept, reject or step-up CNP payment transactions.
Additionally, flexible, customized rules could be deployed to individual card issuers to reflect their distinct business and fraud mitigation strategies, an important capability that competitor solutions didn’t have.
ThreatMetrix allows DNP to provide a premium service to its issuers, helping to identify fraud threats and respond with effective mitigation strategies. The results of ThreatMetrix on DNP and its card issuers have been significant:
- Card issuers are able to accept more transactions, which results in far fewer abandoned carts.
- Low-risk transactions can be authenticated with no associated friction. Reducing unnecessary customer authentication helps create a positive customer experience.
- The reduced workload of the fraud department allows it to focus resources on those cases that are genuinely high-risk.
- Fraud rates and fraud losses have been greatly reduced.
