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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Batch No 
XML No 

Integrations

Batch Yes 
XML Yes 

Pricing Details

No price information available.
Free Trial No 
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) Yes 
In Person Yes 

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 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 

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