AWS Machine Learning Blog
Category: HAQM Fraud Detector
Prevent fake account sign-ups in real time with AI using HAQM Fraud Detector
Implementing an effective fraud prevention system is one of the top priorities for businesses that operate online web or mobile platforms. Businesses report millions of dollars of lost revenue each year due to fraud. Platform abuse and fraud prevention largely remain reactive, and is achieved by studying the profile behavior and transaction history of a […]
Train models faster with an automated data profiler for HAQM Fraud Detector
HAQM Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as the creation of fake accounts or online payment fraud. HAQM Fraud Detector uses machine learning (ML) under the hood and is based on over 20 years of fraud detection expertise from HAQM. It automatically identifies […]
Detect online transaction fraud with new HAQM Fraud Detector features
Fraud teams need a secure, fast, and flexible transaction fraud detection solution to combat global fraudsters. Unlike many solutions on the market, HAQM Fraud Detector allows you to tailor your fraud detection efforts specifically to your data and business challenge while also bringing the latest in fraud detection machine learning (ML) technology to bear on […]
Manage your HAQM Fraud Detector resources in an automated and secure manner using AWS CloudFormation
HAQM Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as the creation of fake accounts or online payment fraud. Unlike general-purpose machine learning (ML) packages, HAQM Fraud Detector is designed specifically to detect fraud. HAQM Fraud Detector combines your data, the latest in ML science, […]
Event-based fraud detection with direct customer calls using HAQM Connect
Several recent surveys show that more than 80% of consumers prefer spending with a credit card over cash. Thanks to advances in AI and machine learning (ML), credit card fraud can be detected quickly, which makes credit cards one of the safest and easiest payment methods to use. The challenge with cards, however, is that […]
Perform batch fraud predictions with HAQM Fraud Detector without writing code or integrating an API
HAQM Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as the creation of fake accounts or online payment fraud. Unlike general-purpose machine learning (ML) packages, HAQM Fraud Detector is designed specifically to detect fraud. HAQM Fraud Detector combines your data, the latest in ML science, […]
Reviewing online fraud using HAQM Fraud Detector and HAQM A2I
Each year, organizations lose tens of billions of dollars to online fraud globally. Organizations such as ecommerce companies and credit card companies use machine learning (ML) to detect online fraud. Some of the most common types of online fraud include email account compromise (personal or business), new account fraud, and non-payment or non-delivery (including card […]
Performing batch fraud predictions using HAQM Fraud Detector, HAQM S3, and AWS Lambda
HAQM Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as the creation of fake accounts or online payment fraud. Unlike general-purpose machine learning (ML) packages, HAQM Fraud Detector is designed specifically to detect fraud. HAQM Fraud Detector combines your data, the latest in ML science, […]
Catching fraud faster by building a proof of concept in HAQM Fraud Detector
HAQM Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as the creation of fake accounts or online payment fraud. Unlike general-purpose machine learning (ML) packages, HAQM Fraud Detector is designed specifically to detect fraud. HAQM Fraud Detector combines your data, the latest in ML science, […]