Check Fraud Solution Brought to you by CPS and SQN
A comprehensive check fraud solution - now available through CPS.
As part of our ongoing commitment to help financial institutions operate more securely and efficiently, Check Printing Solutions has partnered with SQN Banking Systems to offer an advanced check fraud detection solution.
After careful evaluation, CPS selected SQN for their proven expertise in check fraud prevention, enhanced image and transaction analysis capabilities, and strong focus on supporting community banks and credit unions. This partnership allows CPS clients to access powerful fraud detection tools without adding complexity to their existing workflows.
With check fraud continuing to increase in both volume and sophistication, manual review processes alone are no longer enough. Together, CPS and SQN provide a proactive, technology-driven approach to identifying altered, counterfeit, and fraudulent checks, helping institutions reduce losses, improve efficiency, and gain greater visibility into fraud risk.
S E N T R Y : FraudSuite. Automated Review. Targeted Alerts.
SENTRY: FraudSuite™ detects on-us fraudulent checks by building profiles for the FIs customers to detect anomalies. By leveraging the power of machine learning, it gathers and analyzes a wide array of transactional, behavioral, and historical data, including image analysis metrics.
- Check Image Analysis: Inspects check images to detect altered fields (payee, amount, MICR), counterfeit check stock, and forged or mismatched signatures.
- Machine Learning & AI: Continuously learns from new fraud patterns and outcomes to improve detection accuracy and reduce false positives over time.
- Transaction Data Review: Analyzes transaction behavior and trends alongside image data to surface anomalies and suspicious activity.
- Real-Time (Day-Zero) Detection: Flags potentially fraudulent items at the point of deposit, before funds are released or losses occur.
- Detailed Fraud Reporting: Provides clear reports, audit trails, and visibility into fraud trends, alert outcomes, and operational impact.