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ease
features
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support

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Description

EverC stands at the forefront of AI-driven risk intelligence solutions, aimed at fortifying and improving the online business landscape. Their flagship products include MerchantView, which serves as a comprehensive merchant onboarding and monitoring tool that adeptly addresses the dynamic risks associated with the merchant lifecycle, and MarketView, an automated system that detects and removes dangerous, counterfeit, and recalled items from marketplaces. EverC’s innovative technology tackles the pressing issue of online fraud, with estimates indicating that ecommerce-related fraud losses may soar to $343 billion worldwide by 2027. By providing in-depth risk assessments, EverC enables banks, payment processors, and marketplaces to foster secure growth, uphold consumer confidence, and effectively navigate the intricate world of digital commerce. Ultimately, EverC is dedicated to enhancing the online business ecosystem, striving to create a more transparent and reliable environment for ecommerce transactions. Their commitment to innovation and security is pivotal in shaping a safer future for online commerce.

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

No details available.

Integrations

No details available.

Pricing Details

No price information available.
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

EverC

Founded

2008

Country

United States

Website

www.everc.com

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

FraudPoint Reviews

FraudPoint

LexisNexis
Fraud.net Reviews

Fraud.net

Fraud.net, Inc.