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Average Ratings 0 Ratings

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ease
features
design
support

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Description

We address the challenges of digital identity and financial fraud risks, making it easier for your organization to safeguard itself. With our background as former in-house fraud and risk managers, we possess a deep understanding of the intricate and evolving threats that organizations encounter on a daily basis. Our platform is the most extensive solution available, designed to tackle your digital risks effectively. Are you employing a reactive strategy for fraud prevention and often feel one step behind? Our extensive suite of fraud management solutions empowers you to take charge and enables you to proactively detect online fraud threats. We deliver a real-time assessment of risk for each transaction through our award-winning technology, which evaluates risk based on factors such as device intelligence, behavioral patterns, geographic data, customer characteristics, payment details, and information pertaining to the purchase and associated transactions. By leveraging advanced machine learning models alongside established rules, we can distinguish between legitimate customers, minimize manual reviews, and flag potentially risky transactions, ensuring that your organization remains a step ahead in the fight against fraud. This proactive stance not only enhances security but also boosts overall operational efficiency.

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

Ekata
NuDetect

Integrations

Ekata
NuDetect

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

Accertify

Founded

2007

Country

United States

Website

www.accertify.com

Vendor Details

Company Name

MedCXO

Country

United States

Website

medcxo.com/fraud/

Product Features

Chargeback Management

Chargeback Dispute Management
Chargeback Insurance
Chargeback Prevention
Chargeback Recovery
For Banks / Issuers
For Merchants
For Suppliers / Manufacturers / Distributors
Fraud Detection
Reporting / Analytics

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

Payment Gateways

ACH / eCheck support
Buyer Authentication
Credit / Debit Support
Customer Information Storage
Fraud Prevention
Invoicing
Multi-Currency
PCI Compliance
Point-of-Sale (POS)
Recurring Billing / Subscriptions
Reporting / Analytics

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

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