Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
In the modern era, enterprises that leverage digital transformation primarily conduct their operations online and in real-time, minimizing the need for human involvement. While this strategy significantly lowers expenses and enhances customer satisfaction, it simultaneously opens the door to substantial risks of fraud perpetrated by savvy individuals who exploit the online environment's inherent anonymity and ease of access. For instance, in the realm of e-commerce, fraudulent transactions can arise from hacked accounts and pilfered payment information. Additionally, various forms of deception may include account takeovers, misuse of complimentary trials, fake reviews for products, warranty abuses, refund scams, reseller fraud, and exploitation of discount programs. These fraudulent actions can severely impact both the bottom line and the brand reputation of the business. Unlike in the early days of the internet, today's fraudulent schemes are often executed by organized, well-funded groups of professionals who are adept at navigating online systems. The evolving landscape of cyber threats necessitates a proactive approach to safeguard against these sophisticated fraud tactics.
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
Yes
API Access
Has API
Yes
Integrations
Microsoft Dynamics 365
No
My DSO Manager
No
Rayven
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Microsoft
Founded
1985
Country
United States
Website
learn.microsoft.com/en-us/dynamics365/fraud-protection/
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
No
Check Fraud Monitoring
No
Custom Fraud Parameters
No
For Banking
No
For Crypto
No
For Insurance Industry
No
For eCommerce
No
Internal Fraud Monitoring
No
Investigator Notes
No
Pattern Recognition
No
Transaction Approval
No
Product Features
Fraud Detection
Access Security Management
No
Check Fraud Monitoring
No
Custom Fraud Parameters
No
For Banking
No
For Crypto
No
For Insurance Industry
No
For eCommerce
No
Internal Fraud Monitoring
No
Investigator Notes
No
Pattern Recognition
No
Transaction Approval
No