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ease
features
design
support

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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

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

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

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