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Average Ratings 0 Ratings
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
RiskCogs serves as a payment-fraud risk assessment module tailored for online enterprises. It analyzes various signals including payment information, device data, identity verification, IP addresses, and user behavior to generate understandable risk scores and context related to linked accounts for transaction evaluations. Fraud detection and operations teams have the ability to examine signals and associated accounts within a review queue, set customizable thresholds and rules, and experiment with rule modifications in a shadow mode prior to their implementation. Developers can utilize a browser SDK and server API to submit transaction details and obtain assessments, while webhooks facilitate the reporting of assessment events, and a feedback API allows for the submission of subsequent outcomes such as chargebacks. RiskCogs is crafted to integrate risk-related context seamlessly with existing payment processing systems, empowering merchants to set their own decision-making thresholds and actions. Applications of this module encompass payment fraud analysis, card testing, account takeovers, multi-accounting issues, and subscription fraud. The features available to users and the extent of access are contingent upon the specific account configuration. As such, businesses utilizing RiskCogs can enhance their fraud prevention strategies significantly.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
$1,400 one-time payment
Free Trial
No
Free Version
No
Pricing Details
€0/month
Shadow: €0/month, capped at 500 risk decisions and 200 monthly active users; never billed. Starter: €49/month, including 5,000 decisions and 1,000 users; overages are €0.02 per decision and €29.95 per extra 1,000 users. Growth: €299/month, including 50,000 decisions and 10,000 users; overages are €0.005 per decision and €19.95 per extra 1,000 users. Enterprise pricing is custom. Prices are in EUR, billed monthly, excluding VAT. Availability, scope, and support commitments depend on account setup.
Free Trial
No
Free Version
Yes
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
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
MedCXO
Country
United States
Website
medcxo.com/fraud/
Vendor Details
Company Name
Orsun Tech OÜ
Founded
2026
Country
Estonia
Website
riskcogs.com
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
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