A01=Gilit Saporta
A01=Shoshana Maraney
Age Group_Uncategorized
Age Group_Uncategorized
Author_Gilit Saporta
Author_Shoshana Maraney
automatic-update
Banking
Category1=Non-Fiction
Category=UMX
COP=United States
Delivery_Delivery within 10-20 working days
eCommerce
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fintech
Fraud analytics
Fraud mitigation prevention protection
Fraud use cases
Language_English
Machine Learning
PA=Available
Price_€50 to €100
PS=Active
Python
Risk Management
Social engineered fraud
softlaunch
SQL
Product details
- ISBN 9781492093329
- Dimensions: 178 x 232mm
- Publication Date: 30 Apr 2022
- Publisher: O'Reilly Media
- Publication City/Country: US
- Product Form: Paperback
- Language: English
Secure
checkout
Fast Shipping
Easy returns
Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their experience of fraud fighting to provide best practices, methodologies, and tools to help your organization detect and prevent fraud and other malicious activities.
Data scientists, data analysts, and fraud analysts will learn how to identify and quickly respond to attacks. You'll get a comprehensive view of typical incursions as well as recommended detection analytic methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in the ever-changing fraud landscape.
With this book, you will:
Examine current fraud attacks and learn how to mitigate them
Find the right balance between preventing fraud and providing a smooth customer experience
Share insights across multiple business areas, including ecommerce and banking
Evaluate potential risks for a new vertical, market, or product
Train and mentor teams by initiating hackathons and kickstarting brainstorming sessions
Get a framework of fraud methods and fraud-fighting analytics
