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Average Ratings 0 Ratings

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features
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support

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Description

Leading the industry in safeguarding the complete customer experience, from setting up accounts and logging in to processing payments and handling disputes, this solution effectively minimizes chargebacks, manual assessments, and erroneous declines, resulting in enhanced approval rates and increased revenue. The concept of Identity Trust revolves around determining the reliability of each identity involved in every payment, account creation, and login action. Utilizing AI technology, Kount's Identity Trust Global Network TM integrates trust and fraud indicators from 32 billion interactions each year to combat fraud in real-time while facilitating customized customer experiences. By delivering rapid and precise identity trust evaluations, the system ensures secure payments, account setups, and login processes while mitigating risks associated with digital fraud, chargebacks, and unnecessary manual reviews. Furthermore, this innovative approach significantly decreases the occurrence of false positives, alleviating friction for legitimate customers and allowing businesses to confidently accept more valid orders, which in turn boosts overall revenue and optimizes operational efficiency. Ultimately, the solution empowers organizations to enhance their decision-making process, eliminating uncertainty and streamlining customer interactions.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AppBilling Yes 
AppHelp Yes 
AppMarket Yes 
AppReseller Yes 
BehavioSec Yes 
Bizintel360 Yes 
Canopy Yes 
CatalystPay Yes 
Chargeback Gurus Yes 
Deck Commerce Yes 
EMB Yes 
Ekata Yes 
IXOPAY Yes 
NMI Payments Yes 
ResponseCRM Yes 
Sublytics Yes 
TEXT2DRIVE Yes 
myKaarma Yes 

Integrations

AppBilling No 
AppHelp No 
AppMarket No 
AppReseller No 
BehavioSec No 
Bizintel360 No 
Canopy No 
CatalystPay No 
Chargeback Gurus No 
Deck Commerce No 
EMB No 
Ekata No 
IXOPAY No 
NMI Payments No 
ResponseCRM No 
Sublytics No 
TEXT2DRIVE No 
myKaarma No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$1,400 one-time payment
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 No 
Live Rep (24/7) Yes 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Kount

Founded

2007

Country

United States

Website

www.kount.com

Vendor Details

Company Name

MedCXO

Country

United States

Website

medcxo.com/fraud/

Product Features

Chargeback Management

Chargeback Dispute Management No 
Chargeback Insurance No 
Chargeback Prevention No 
Chargeback Recovery No 
For Banks / Issuers No 
For Merchants No 
For Suppliers / Manufacturers / Distributors No 
Fraud Detection No 
Reporting / Analytics No 

Fraud Detection

Access Security Management Yes 
Check Fraud Monitoring Yes 
Custom Fraud Parameters Yes 
For Banking Yes 
For Crypto No 
For Insurance Industry Yes 
For eCommerce No 
Internal Fraud Monitoring Yes 
Investigator Notes No 
Pattern Recognition Yes 
Transaction Approval Yes 

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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