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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.
Description
Minimize the risk of mortgage fraud by revealing hidden connections. By analyzing the links between individuals and business entities involved in transactions, your company can spot organized fraud schemes more effectively. The LexisNexis Relationship Identifier provides vital insights into the relationships that exist between various parties, aiding in the protection of your organization against fraudulent activities. This tool offers a cost-effective solution to quickly assess the connections among 2-8 entities, thereby shielding your business from expensive, coordinated fraud efforts. With its user-friendly interface, you can swiftly uncover relationships between multiple entities to enhance your fraud detection capabilities. The concise report generated by this tool outlines the interconnections and clarifies how entities relate to one another, enabling your business to scrutinize undisclosed relationships and improve its ability to detect fraud attempts early in the transaction process. Ultimately, leveraging this intelligence helps foster a more secure and reliable mortgage process for your organization.
API Access
Has API
API Access
Has API
Integrations
Batch
XML
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
LIMRA
Founded
1916
Country
United States
Website
www.limra.com/en/solutions-and-services/regulatory-and-compliance/fraudshare/
Vendor Details
Company Name
LexisNexis
Founded
1970
Country
United States
Website
risk.lexisnexis.com/products/relationship-identifier
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