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ease
features
design
support

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Description

Fraud Detection serves as a risk management platform that leverages advanced machine learning algorithms alongside stream computing technologies. This tool is designed to uncover fraudulent activities across essential services such as user registrations, transactions, operations, and credit assessments. It offers a comprehensive, anti-fraud system that is well-suited for various industries, including e-commerce, social media, and financial services. By implementing proven risk control strategies that Alibaba Cloud has refined over the past decade, Fraud Detection effectively mitigates risks associated with business expansion. Its protective features have been validated through high-profile promotional events, ensuring reliability and effectiveness. The system boasts rapid, high-dimensional computing capabilities, achieving results within milliseconds while supporting ultra-high concurrency, outstanding performance, and significant scalability due to Alibaba Cloud's robust computing and network infrastructure. Additionally, users can seamlessly integrate their services with Fraud Detection from numerous global regions, facilitating immediate risk identification and response. Overall, this platform not only enhances security but also empowers businesses to thrive in a competitive landscape.

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

Alibaba Cloud

Integrations

Alibaba Cloud

Pricing Details

$74,292 per year
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

Alibaba Cloud

Founded

2008

Country

China

Website

www.alibabacloud.com/product/fraud-detection

Vendor Details

Company Name

MedCXO

Country

United States

Website

medcxo.com/fraud/

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.