Check fraud schemes continue to evolve, challenging financial institutions to identify altered checks, convincing counterfeits, forged endorsements and other sophisticated threats.
Join Nasdaq Verafin for a product demonstration exploring how our holistic Check Fraud solution combines real-time analysis, machine learning, image analysis, behavioral intelligence, and consortium insights to help financial institutions detect suspicious activity across the check lifecycle. See how investigators can assess risk from both deposit and in-clearing perspectives and accelerate investigations within a single platform.
Session Highlights
- Deposit Fraud Machine Learning: See how Nasdaq Verafin analyzes more than 60 transaction, account, and customer features to assign risk scores and surface key factors such as account age, exposure, deposit history, payer-payee relationships and previously returned checks.
- Check Fraud Machine Learning: Explore how hundreds of data points, including more than 300 image-specific features, help identify unusual check activity using behavioral, counterparty and image analysis.
- Image Analysis: Discover tools that compare suspicious checks with previously cleared items, generate visual heat maps and highlight differences involving payees, dollar values, dates, memo lines, signatures, check borders and text positioning.
- Consortium Insights: Learn how risk identified on the deposit side helps in-clearing institutions assess check fraud risk.
- Streamlined Investigations: See how investigators can review alerts, transactions, customer activity, check images, balance history and comparison tools in one platform, reducing the need to gather evidence from multiple systems.
