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
Pasabi is an innovative platform leveraging artificial intelligence to prevent fraud, specifically tailored for marketplaces and digital platforms facing the challenges of modern online threats. By employing a combination of AI and behavioral analytics, Pasabi consistently observes user interactions to uncover trends that may signal fraudulent behavior, including the presence of fake accounts, bogus reviews, counterfeit items, and various scams. This versatile platform caters to businesses of all sizes, ranging from dynamic startups to well-established global corporations. With its advanced technology, Pasabi empowers platforms to take decisive action against malicious entities, thereby safeguarding users and preserving the integrity of the platform’s reputation. Furthermore, Pasabi offers a Partner Program that fosters collaboration with other entities to create comprehensive trust and safety solutions aimed at bolstering defenses against online deception. Through its ongoing monitoring capabilities, Pasabi continually adapts to recognize and respond to evolving patterns of misconduct as they arise, ensuring a safer online environment for all users.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
No details available.
Integrations
No details available.
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
Pasabi
Founded
2015
Country
Scotland
Website
www.pasabi.com
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