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Description
SQN Banking Systems provides a robust solution for banks to combat the increasing threat of check fraud through its SENTRY: FraudSuite™ platform. This all-in-one fraud prevention system employs machine learning and AI technology to thoroughly analyze check images, customer profiles, and transaction history. The platform excels at detecting altered checks by identifying changes in payee names, amounts, and dates, as well as counterfeit checks through security feature analysis. Signature verification compares new signatures with previously verified ones to catch forgeries, while handwriting variance detection spots suspicious alterations. SENTRY: FraudSuite™ also blocks duplicate check deposits and detects check kiting by analyzing account behavior and deposit patterns. Additionally, it flags fraudulent activity involving checks from closed or empty accounts. SQN Banking Systems equips financial institutions with educational materials and case studies to showcase how their platform can effectively reduce fraud losses. The solution streamlines fraud detection, helping banks protect assets and maintain trust.
Description
To mitigate financial risks and protect their reputations, it is crucial for operators to combat fraud in real-time, especially concerning roaming and national-to-international calls. Many telecommunications providers have implemented various fraud prevention measures; however, the emergence of new technologies continues to unveil additional vulnerabilities. Adopting protective tools against these new attack vectors is often a slow process. As a result, operators are increasingly moving from traditional offline analysis to utilizing network enforcement capabilities that can halt fraudulent calls as they happen. CDR-based systems, which rely on successful call records, unfortunately overlook failed call attempts, limiting their effectiveness to a reactive stance. Consequently, operators are eager to proactively address fraudulent activities at all stages of the calling process. For instance, by tracking the number of call attempts to known black-listed numbers, operators can identify and block PBX hacked devices, as fraudsters typically cycle through multiple numbers before successfully connecting. Moreover, this proactive approach can help in identifying patterns of behavior that are indicative of larger fraud schemes, thereby enhancing overall security.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
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
SQN Banking Systems
Website
sqnbankingsystems.com/check-fraud-protection/
Vendor Details
Company Name
TOMIA
Founded
1999
Country
United States
Website
tomiaglobal.com/real-time-anti-fraud-raf
Product Features
Banking
ATM Management
Compliance Tracking
Corporate Banking
Credit Card Management
Credit Union
Investment Banking
Multi-Branch
Online Banking
Private Banking
Retail Banking
Risk Management
Securities Management
Transaction Monitoring
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