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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

Fraud Detection Modern fraud prevention systems rely on documenting issues and establishing expert-defined rules to combat them; however, due to the vastness and ever-changing nature of fraud, this approach is often inadequate. POINTER introduces a forward-thinking strategy that swiftly identifies fraudulent activities by recognizing transactions that deviate from a user’s usual behavior. Utilizing a proprietary mathematical model along with advanced data mining methodologies, POINTER generates a dynamic Personal Symbolic Vector. Additionally, the incorporation of auto-learning techniques allows the system to adapt to realistic behavioral changes over time. This adaptability guarantees that user profiles remain current and that the most recent expert rules are applied for fraud detection. Furthermore, POINTER significantly reduces the number of false alerts, thereby minimizing the research time required by staff while simultaneously enhancing customer service. Institutions can also customize these parameters to achieve the most effective balance for their specific needs. Ultimately, this innovative approach revolutionizes the way organizations manage and mitigate fraud.

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 No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

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

Customer Support

Business Hours Yes 
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 No 
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

PotentiaN

Founded

2007

Country

United States

Website

www.potentian.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 Yes 
Check Fraud Monitoring No 
Custom Fraud Parameters Yes 
For Banking Yes 
For Crypto No 
For Insurance Industry Yes 
For eCommerce No 
Internal Fraud Monitoring Yes 
Investigator Notes Yes 
Pattern Recognition Yes 
Transaction Approval Yes 

Alternatives

Alternatives

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Fraud.net

Fraud.net, Inc.
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FraudPoint

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