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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 Incognia?

Location Behavioral Biometrics leverages the unique location-centric actions of users to create a flexible location fingerprint that is difficult for fraudsters to imitate. This cutting-edge method is an invaluable asset for financial institutions and retailers, significantly reducing risks linked to new account fraud and account takeovers. By combining network signals with on-device sensor data, our sophisticated location technology formulates distinct behavioral patterns that support precise user identification and authentication. Importantly, our solution operates without the need for any personally identifiable information (PII) and functions unobtrusively in the background, providing a secure and seamless user experience. Additionally, it allows for the global validation of addresses using real-time location data and effectively identifies location spoofing techniques often used in identity theft and account takeover attacks. It further detects anomalies to avert fraudulent actions like unauthorized account registrations, logins, and transactions, thereby disrupting organized fraud schemes. Moreover, by equipping your identity verification processes with instant access to location information, our system bolsters overall security and trust. This innovative approach not only enhances security measures but also fosters a safer environment for online transactions.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Not specified

Supported Platforms

SaaS
Android
iPhone
iPad

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

SQN Banking Systems

Company Website

sqnbankingsystems.com/check-fraud-protection/

Company Facts

Organization Name

Incognia

Company Location

United States

Company Website

www.incognia.com

Categories and Features

Banking

Compliance Tracking
Corporate Banking

Check Fraud

Not specified

Categories and Features

Authentication

Biometric
Credential Management
Mobile Authentication
Multifactor Authentication
Policy Management
Self Service Portal
Single Sign On

Device Fingerprinting

Not specified

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