Average Ratings 0 Ratings
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
T-NEX Fraud Detection serves as a comprehensive transaction-monitoring and case-management solution tailored for banks, insurance companies, and other regulated entities. It implements customizable rules to analyze incoming transactions, gathers supporting evidence, and consolidates related alerts into customer cases for fraud and anti-money-laundering teams to investigate. The application features AI-assisted triage, which provides a risk score, rationale, and recommended actions, while also keeping track of model and prompt versions for future reference. Analysts engage with customer context and evidence, making decisions to assign or escalate cases, document their findings, and draft reports as necessary. Additionally, the platform allows for backtesting of rules using historical transaction data prior to their implementation. Its robust audit trail captures all actions taken along with their justifications, ensuring that human analysts maintain ultimate decision-making authority, as the system does not have the capability to block payments or cards. This thoughtful integration of AI into the review process exemplifies T-NEX's unique HUMAINOLOGY methodology. With over two decades of collective expertise in governance, risk, and compliance software, the T-NEX team is well-equipped to tackle complex fraud challenges. Their commitment to innovation ensures that the platform remains responsive to evolving regulatory landscapes.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
$1,400 one-time payment
Free Trial
No
Free Version
No
Pricing Details
No price information available.
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
No
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
No
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
T-NEX
Founded
2024
Country
Germany
Website
t-nex.de/en/institutions/products/fraud-detection/
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