Sift
shift
Flyer
Flyer
Cloud service for detecting fraud in online business_Sift
While maintaining usability that does not affect cart abandonment, machine learning detects unauthorized logins and accounts on the site with high accuracy. Introducing the fraud detection service that boasts an overwhelming track record of over 34,000 installations.
User case
User case
Company A, a major cosmetics brand
Sift protects EC site sales floors in combination with EMV 3D Secure (3D Secure 2.0), a card fraud countermeasure that can be introduced in linked payments
User case
freee K.K
Unauthorized use detection is also one of the functions of the cloud accounting service Blocking attacks that exploit free accounts
User case
istyle Inc.
"@cosme shopping" was plagued by the rapid increase in fraudulent use of credit cards as its business grew. Combined use of Sift and EMV 3D Secure realizes fraud countermeasures that avoid the risk of cart abandonment.
User case
Yoshinoya
The number of chargebacks has decreased to less than 10%. Both the growth of EC sites and the security that prevents cart abandonment.
User case
Loco Partners, Inc.
Hundreds of “fraudulent accounts” were successfully discovered in “Relux”, a hotel and ryokan accommodation reservation service, and the amount of chargebacks decreased by about 60% in one year. .
User case
au Commerce & Life, Inc.
This is a case study of au Commerce & Life, Inc., Ltd. Sift, which continues to grow with fraudulent use measures that reduce chargebacks by 93% and manual review time by 75% or more in one year of operation, and prevent fraudulent use that does not impair the customer experience.
white paper
white paper
Current Status of Fraud in Online Business in 2021-What is the Reality of Damage to Financial, EC, and Service Industries? ~
white paper
Why Sift is Effective for FinTech Online Fraud Countermeasures
Inquiry
In charge of Macnica Sift Co., Ltd.
- TEL：045-476-2010
- E-mail：sift-sales@macnica.co.jp
Weekdays: 9:00-17:00