Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Every bank and fintech requires AI fraud investigators to create a reality where fraud victims are a thing of the past, and Trident is leading the charge by providing limitless investigators to these institutions. By deploying AI agents designed specifically to combat card fraud and APP scams, our solution integrates effortlessly with your in-app dispute forms, messaging systems, and alerting mechanisms. This innovation drastically reduces fraud resolution times from several days to mere minutes, ultimately enhancing customer satisfaction. Moreover, our AI agents bolster your fraud management capabilities, ensuring that every case is addressed regardless of the volume of incidents reported. With a streamlined process for handling false positives, our detection models can identify a greater number of transactions, ensuring that real fraud is captured effectively. Additionally, our assistant can be easily incorporated with platforms like Intercom, Zendesk, or any existing case management system you may currently utilize, providing a comprehensive tool for fraud detection and resolution. By harnessing the power of AI, we can transform the landscape of fraud investigation and support banks in safeguarding their customers more efficiently than ever before.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Intercom
No
Zendesk
No
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
No
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
No
Live Training (Online)
Yes
In Person
No
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
Trident AI
Website
tridentai.co
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