Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Forter is a unique fraud prevention platform, utilizing the largest network of online retailers to accurately identify trustworthy customers in real-time, consistently throughout every transaction. This comprehensive solution safeguards the entire purchasing process. As a frontrunner in e-commerce fraud prevention, Forter oversees transactions exceeding $200 billion and shields more than 750 million consumers worldwide from various threats such as credit card fraud, account takeover, identity theft, and return abuse, among others. Its integrated platform benefits from an expanding Global Merchant Network, innovative predictive fraud research, and customizable features tailored to meet the specific needs of businesses, addressing issues ranging from policy abuse to account takeover fraud and loyalty fraud. Consequently, Forter has gained the confidence of numerous Fortune 500 companies by providing outstanding accuracy, improving user experiences, and enhancing sales while significantly reducing costs, making it an invaluable asset in the realm of online commerce. With Forter, businesses can focus on growth, knowing they have a robust defense against the evolving landscape of fraud.
Description
FraudShare is an innovative platform created by LIMRA aimed at tackling account takeover fraud within the financial services sector. It grants users real-time access to data on incidents and threat indicators linked to ATO attacks, allowing businesses to take proactive measures against fraudulent schemes. Users receive prompt email notifications and have the option to access data through export capabilities or an API, which streamlines the process of identifying and averting similar attacks. The platform's correlation analysis features enable organizations to identify and connect related incidents, revealing additional threat indicators that are essential for thorough investigations. Additionally, FraudShare provides valuable industry statistics and trending insights derived from verified fraud cases, helping companies grasp the dynamics and repercussions of ATO fraud. This wealth of information empowers organizations to make strategic choices to bolster their fraud prevention efforts and stay ahead of evolving threats in the financial landscape. Ultimately, FraudShare serves as an essential tool for enhancing collective defenses against increasingly sophisticated fraud tactics.
API Access
Has API
API Access
Has API
Integrations
Agent Payments Protocol (AP2)
Canopy
Commerce7
FreedomPay
Gr4vy
Logicbroker
Magento
ReturnPro
SAP Commerce Cloud
SAP Store
Integrations
Agent Payments Protocol (AP2)
Canopy
Commerce7
FreedomPay
Gr4vy
Logicbroker
Magento
ReturnPro
SAP Commerce Cloud
SAP Store
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Forter
Founded
2013
Country
United States
Website
www.forter.com
Vendor Details
Company Name
LIMRA
Founded
1916
Country
United States
Website
www.limra.com/en/solutions-and-services/regulatory-and-compliance/fraudshare/
Product Features
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval
Product Features
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval