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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

SentinelDB employs field-level encryption alongside a robust key hierarchy to ensure that data breaches are virtually impossible. It meets stringent data protection and audit trail standards such as GDPR, HIPAA, CCPA, NIST, PCI DSS, PSD2, and ISO 27001. With complete oversight of all systems, it features a blockchain-based immutable audit trail empowered by AI for fraud detection. The platform handles scalability, high availability, and backups, allowing users to simply focus on sending and retrieving data. Each record is encrypted individually, reinforcing the security framework to prevent unauthorized access, even from privileged accounts. Additionally, any attempts at fraud trigger immediate real-time alerts, providing an extra layer of security. Developing a compliant database and corresponding audit trail from the ground up can be both costly and time-consuming, often requiring several months. However, SentinelDB offers seamless API integration, which necessitates only minimal adjustments to current systems and workflows. This makes the transition to a more secure and compliant infrastructure not only feasible but also efficient.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Box
Dropbox
Google Cloud Platform
Google Workspace
Kubernetes
Microsoft 365
Microsoft Azure
Salesforce
WordPress
Zoom

Integrations

Amazon Web Services (AWS)
Box
Dropbox
Google Cloud Platform
Google Workspace
Kubernetes
Microsoft 365
Microsoft Azure
Salesforce
WordPress
Zoom

Pricing Details

$1,400 one-time payment
Free Trial
Free Version

Pricing Details

No price information available.
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

MedCXO

Country

United States

Website

medcxo.com/fraud/

Vendor Details

Company Name

LogSentinel

Founded

2017

Country

Netherlands

Website

logsentinel.com/sentineldb/

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

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