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What is SENTRY: FraudSuite?

SQN Banking Systems delivers an advanced check fraud prevention platform, SENTRY: FraudSuite™, that integrates multiple detection technologies to safeguard banks from a wide array of check fraud threats. Utilizing AI and machine learning, the system performs in-depth check image analysis, examining every detail printed on checks to uncover counterfeit attempts. It builds detailed customer profiles based on transaction behavior and historical data, allowing it to detect anomalies and suspicious activity with high accuracy. The platform’s signature verification tool compares new signatures against a database of verified ones and adapts to legitimate signature changes over time. Handwriting variance detection further strengthens security by analyzing handwritten alterations on checks, such as modified payee names or amounts. SENTRY: FraudSuite™ protects against common fraud types including altered, counterfeit, forged, duplicate, and kiting checks, as well as fraudulent deposits from closed or empty accounts. The solution’s holistic approach consolidates multiple fraud measures into one seamless platform, helping banks reduce losses and enhance operational efficiency. SQN Banking Systems also provides banks with a variety of educational resources, such as brochures, guides, and real-world case studies to demonstrate the platform’s effectiveness. This ensures banks are equipped to identify evolving fraud tactics and maintain robust defenses. Overall, SENTRY: FraudSuite™ empowers financial institutions to secure their check processing workflows with cutting-edge technology and data-driven insights.

What is Nethone?

Our advanced fraud prevention system thoroughly assesses every user to pinpoint and remove potentially harmful individuals while maintaining a smooth experience for your authentic customers. This evaluation happens effortlessly and in real-time, granting you valuable insights into user behavior across your website and mobile apps on both Android and iOS devices. With our precise financial transaction fraud detection tools, you can boost your acceptance rates while significantly reducing instances of fraud and chargebacks. Manual reviews are only necessary when absolutely essential, which means your customers experience minimal disruption while you benefit from strong fraud protection. We prioritize facilitating more legitimate transactions by effectively countering fraudsters with outstanding accuracy. Our solution not only offers a competitive edge but also proves effective across multiple platforms, including web browsers and native mobile applications. By detecting and preventing fraudulent activities, we shield your business from over 100 relevant fraud tactics, consistently refining our methods to adapt to the ever-evolving fraud landscape. Furthermore, our dedication to innovation ensures that your business is continually safeguarded against new threats in real-time, allowing you to operate with confidence. When you choose our services, you’re not just investing in protection; you’re investing in your business's future success and integrity.

Media

Media

Integrations Supported

Integrations Supported

CREDITONLINE

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.03 per month
Free Trial Offered?

Supported Platforms

Not specified

Supported Platforms

SaaS
Android
iPhone
iPad

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SQN Banking Systems

Company Website

sqnbankingsystems.com/check-fraud-protection/

Company Facts

Organization Name

Nethone

Company Location

Poland

Company Website

nethone.com

Categories and Features

Banking

Compliance Tracking
Corporate Banking

Check Fraud

Not specified

Categories and Features

Fraud Detection

Not specified

KYC

Not specified

Machine Learning

Not specified

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