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What is RiskNet?

The aiRiskNet® platform operates as a self-service rules engine for real-time and near real-time detection and prevention of payment fraud and suspicious activities, catering to card issuers, acquirers, payment service providers (PSPs), and merchants around the world. This adaptable solution can be implemented as either licensed software on-premises or through a cloud-based service on Azure. Engineered to protect the entire payment ecosystem, aiRiskNet® features a modular design with three main configurations that can operate independently or be seamlessly integrated into a broader enterprise solution. Notably, aiRiskNet® Acquirer is dedicated to managing risks associated with merchants and identifying fraud across various payment channels, such as point-of-sale (POS) and ATM transactions. On the other hand, aiRiskNet® Issuer specializes in fraud detection for financial entities and card issuers, covering all types of card payments, including credit, debit, pre-paid, private label, and e-wallets, while also addressing other payment mechanisms like cheques, ACH, and wire transfers. This flexibility allows users to combat fraud effectively, aligning the solution with their individual operational requirements. Additionally, the platform provides ongoing updates and enhancements to adapt to the ever-evolving landscape of payment fraud.

What is CPA Fraud Detection Service?

Benford's law is an effective method for revealing patterns that may indicate fraudulent disbursements. It requires the analysis of audit trail reports from accounting software such as QuickBooks to identify suspicious actions like voids and deletions. Moreover, it also includes the detection of multiple payments made for the same amount on a single day. A comprehensive examination of payroll runs is performed to find any discrepancies, particularly payments that exceed designated salary or hourly rates. Payments made on days when businesses are closed are given extra attention. By employing statistical analyses, outliers that could point to fraud are uncovered, and duplicate payments are verified for accuracy. Furthermore, vendor files in accounts payable are scrutinized for names that may appear strikingly similar, leading to investigations into potential fictitious vendors. Comparisons of vendor addresses and payroll information are assessed through Z-Scores and relative size factor tests. Although data monitoring and unexpected audits have proven to significantly mitigate fraud losses, merely 37% of organizations have implemented these vital controls. For smaller businesses with fewer than 100 employees, the average estimated loss attributed to fraud stands at $200,000, underscoring the fact that these enterprises typically lack sufficient resources to effectively identify and respond to fraudulent activities. Therefore, it becomes crucial for small businesses to embrace more robust fraud detection strategies to protect their financial health and ensure long-term sustainability. By doing so, they can not only detect irregularities but also foster a culture of transparency and accountability within their operations.

Media

Media

Integrations Supported

Microsoft Azure

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$1,400 one-time payment

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

On-Site Training

Company Facts

Organization Name

The ai Corporation

Date Founded

1998

Company Location

United Kingdom

Company Website

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

Company Facts

Organization Name

MedCXO

Company Location

United States

Company Website

medcxo.com/fraud/

Categories and Features

Fraud Detection

Not specified

Categories and Features

Fraud Detection

Not specified

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