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Average Ratings 0 Ratings

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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

Our DLP (Data Loss Prevention) system is designed to assist organizations in safeguarding confidential information from unauthorized leaks while simultaneously overseeing employee activities. This robust tool addresses potential leaks of sensitive data, fraudulent schemes occurring within the organization, and various insider threats. It also examines employee performance, ensures efficient oversight of actions taken on employees' computers, and evaluates staff loyalty and communication. Furthermore, it can block harmful actions from employees, manage access to web resources by categorizing them, and monitor the use of applications. The system tracks data transfer activities, such as saving information to the clipboard and the connection of USB devices. In addition, it analyzes the content of uploaded files—ranging from text and images to audio—and assesses both employee efficiency and their risk levels. By providing statistical indicators regarding employee performance, the system aids in investigating incidents related to information security. It identifies the root causes behind safety breaches and the factors contributing to employee inefficiency, along with uncovering any fraudulent activities occurring within the company. Ultimately, this comprehensive approach ensures a secure work environment and promotes accountability among staff members.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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

falcongaze

Website

falcongaze.com/en/

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

Data Loss Prevention

Compliance Reporting
Incident Management
Policy Management
Sensitive Data Identification
Web Threat Management
Whitelisting / Blacklisting

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