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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

Our company provides AI-driven solutions for credit risk, identity verification, and customer acquisition specifically designed for the lending sector, aiming to support the 3 billion individuals who are underbanked. By utilizing our extensive suite of Big Data technologies, an AI-based alternative credit scoring system, and fraud assessment tools, we are reshaping financial offerings and reaching out to neglected market segments. We facilitate the digital onboarding of customers from any location at any time, while employing sophisticated facial recognition technology, AI-driven fraud detection, and ID validation to ensure secure transactions. Our goal is to engage millions of creditworthy yet underserved borrowers by creating a seamless digital lending environment that achieves disbursal rates ten times higher than traditional methods. Importantly, all information remains within the partner's data center, granting them complete authority over data management. We only process data that has been masked, anonymized, and aggregated, ensuring that personal information of individuals is never utilized. Furthermore, we adapt and implement systems that align with GDPR and other local regulations related to data security and privacy, thus maintaining the utmost integrity and compliance in our operations. This commitment to security and privacy underscores our dedication to fostering trust and transparency in financial services.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

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 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) Yes 
In Person Yes 

Vendor Details

Company Name

MedCXO

Country

United States

Website

medcxo.com/fraud/

Vendor Details

Company Name

Trusting Social

Country

Singapore

Website

trustingsocial.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 

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