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features
design
support

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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.

Description

The aiRiskNet® platform serves as a real-time and near real-time self-service rules engine aimed at identifying and preventing various forms of payment fraud and suspicious transactions, utilized by card issuers, acquirers, payment service providers (PSPs), and merchants globally. This versatile solution can be deployed either as licensed software on-premises or as a cloud-based service through Azure. Designed to safeguard the entire payment ecosystem, aiRiskNet® offers a modular structure with three primary configurations that can function independently or be integrated into a comprehensive enterprise solution. Specifically, aiRiskNet® Acquirer focuses on managing merchant risks and detecting fraud across different payment channels, including POS and ATM transactions. Meanwhile, aiRiskNet® Issuer targets fraud detection for financial institutions and card issuers, addressing all types of card payments such as credit, debit, pre-paid, private label, and e-wallets, in addition to handling other payment methods like cheques, ACH, and wire transfers. This adaptability ensures that users can effectively combat fraud in a manner tailored to their specific operational needs.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Microsoft Azure

Integrations

Microsoft Azure

Pricing Details

$1,400 one-time payment
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

MedCXO

Country

United States

Website

medcxo.com/fraud/

Vendor Details

Company Name

The ai Corporation

Founded

1998

Country

United Kingdom

Website

www.aicorporation.com/products-services/risknet/

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

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

Arden Reviews

Arden

Brightwell
Fraud.net Reviews

Fraud.net

Fraud.net, Inc.