Compare Amazon Fraud Detector vs. Featurespace ARIC Fraud Hub

Amazon Fraud Detector is ranked 34th in Fraud Detection and Prevention while Featurespace ARIC Fraud Hub is ranked 9th in Fraud Detection and Prevention. Amazon Fraud Detector is rated 0, while Featurespace ARIC Fraud Hub is rated 0. On the other hand, Amazon Fraud Detector is most compared with , whereas Featurespace ARIC Fraud Hub is most compared with FICO Falcon Platform, IBM Safer Payments and ThreatMetrix.
Cancel
You must select at least 2 products to compare!
Ranking
Views
14
Comparisons
7
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Views
734
Comparisons
531
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Also Known As
AWS Cloud9 IDE, Cloud9 IDEARIC Fraud Hub, ARIC platform
Learn
Amazon
Featurespace
Overview

Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities such as online payment fraud and the creation of fake accounts. Globally each year, tens of billions of dollars are lost to online fraud.

Featurespace’s ARIC engine is the smartest technological approach to fraud management, developed to cope with the constant threat of new fraud attacks, while enabling businesses to accept their genuine customers – on premise or via secure cloud.

Featurespace’s ARIC engine (Adaptive, Real-time, Individual, Change Identification) is a real-time, machine learning, fraud management software platform for organisations in financial services, insurance and gaming.

Offer
Learn more about Amazon Fraud Detector
Learn more about Featurespace ARIC Fraud Hub
Sample Customers
Expedia, Intuit, Royal Dutch Shell, Brooks BrothersTSYS, OpenBet, William Hill, Zapp, Credit Reference Agency, Responsible Gambling Trust, Betfair, kPMG, Camelot
We monitor all Fraud Detection and Prevention reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.