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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Top European banks have selected Fraud Manager to implement their risk management solutions to combat fraud both in France and internationally. Fraudulent activities are intricate and operate across various channels. By utilizing real-time behavioral analysis, it evaluates risk based on comprehensive data and enables immediate action against fraud schemes. The system automates the most effective machine learning algorithms on a large scale to identify anomalies. It allows for detailed data analysis, fosters customer insights, and promptly identifies suspicious activities. Fraud Manager empowers risk professionals and data analysts to create and intersect numerous business unit indicators for effective risk evaluation without limitations. Users can strategize responses to potential threats using an intuitive drag-and-drop interface that eliminates the need for programming skills. With the aid of Fraud Manager's cutting-edge real-time technology and explainable AI, organizations can assess and fine-tune their threat response strategies directly. Additionally, it provides a comprehensive view of the fraud incidents that have been thwarted, along with their effects on the customer journey, ensuring a holistic approach to fraud management. This system not only enhances security but also strengthens customer trust through transparent operations.

Description

Benford's law serves as a tool for uncovering patterns indicative of improper disbursements. It involves examining audit trail reports from QuickBooks or other bookkeeping software to pinpoint unusual activities like voids and deletions. Additionally, it entails identifying multiple payments made for identical amounts on the same day. A thorough review of payroll runs is conducted to detect any payments exceeding the established salary or hourly rates. Payments made on non-business days are also scrutinized. Statistical calculations help in identifying outliers that may suggest fraudulent activity, and duplicate payments are tested for validation. Vendor files in accounts payable are analyzed for names that may be suspiciously similar, and investigations are conducted to uncover fictitious vendors. Comparisons of vendor and payroll addresses are evaluated using Z-Scores and relative size factor tests. While data monitoring and surprise audits have shown to significantly reduce fraud losses, only 37% of organizations implement these critical controls. For businesses employing fewer than 100 individuals, the average loss due to fraud is estimated at $200,000, highlighting that smaller enterprises often lack the necessary resources to effectively detect and address fraudulent activities. Consequently, it is essential for small businesses to adopt more robust fraud detection mechanisms to safeguard their financial integrity.

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

$1,400 one-time payment
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

ISoft

Country

France

Website

isoft.fr/en/fraudmanager/

Vendor Details

Company Name

MedCXO

Country

United States

Website

medcxo.com/fraud/

Product Features

AML

Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

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

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

Alternatives

Alternatives

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