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Average Ratings 0 Ratings

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features
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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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$1,400 one-time payment
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 Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person Yes 

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 No 
Case Management No 
Compliance Reporting No 
Identity Verification No 
Investigation Management No 
PEP Screening No 
Risk Assessment No 
SARs No 
Transaction Monitoring No 
Watch List No 

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 

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