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What is WizRule?

WizRule is a sophisticated data-auditing tool that automatically identifies patterns within datasets and highlights instances that stray from these norms as potential frauds or errors. Any instance that raises suspicion is one that significantly diverges from the recognized patterns established by the software. This tool is invaluable for auditors, fraud examiners, forensic investigators, and data-quality managers, whose primary objective is to detect fraudulent activities and data discrepancies. WizRule enhances their ability to achieve this goal effectively. As a data-auditing software leveraging advanced data mining techniques, WizRule conducts thorough analyses to pinpoint inconsistencies within the data. The operation of WizRule is seamless; the user only needs to select the dataset for examination, and the software takes care of the analysis. It explores all interrelationships among the various fields and highlights any unusual or improbable cases. By doing so, WizRule uncovers fraudulent activities that traditional auditing methods may overlook, ensuring a more comprehensive review of the data. Its automated nature not only saves time but also increases accuracy in identifying potential issues.

What is Subex Fraud Management?

A comprehensive solution exists to combat various forms of fraud. With 25 years of expertise, Subex Fraud Management offers all-encompassing protection for digital services by utilizing cutting-edge machine intelligence and signaling intelligence. This innovative solution merges a conventional rule engine with sophisticated AI and machine learning capabilities to enhance coverage across a wide range of services while reducing the time fraud can operate within the network. Additionally, it features mechanisms for real-time blocking of fraudulent activities. At the heart of the Subex Fraud Management solution lies a hybrid rule engine, which implements detection techniques that include expressions, thresholds, and trends. The rule engine incorporates a diverse array of rules, including threshold, geographic, sequential pattern, combinatorial, ratio/proportion-based, negative, and hotlist-based rules, among others. These various rules empower organizations to effectively monitor and respond to advanced threats that may arise in their networks, ensuring a proactive approach to fraud management.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

one time licensing fee
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

WizSoft

Date Founded

1983

Company Location

Israel

Company Website

www.wizsoft.com/wizrule/

Company Facts

Organization Name

Subex

Date Founded

1992

Company Location

India

Company Website

www.subex.com/fraud-management/

Categories and Features

Audit

Alerts / Notifications
Audit Planning
Compliance Management
Dashboard
Exceptions Management
Forms Management
Issue Management
Mobile Access
Multi-Year Planning
Risk Assessment
Workflow Management

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

Categories and 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

Telecom Expense Management

Billing for Data
Billing for Voice
Call Monitoring
Chargeback Tracking
Contract Negotiation
Fixed Line Compatibility
Internal Cost Allocation
Mobile Line Compatibility
Usage Reporting

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