How Lynx helps you with Card Fraud Detection

In today’s dynamic real-time payment environment, criminals constantly adapt their tactics to commit card fraud. They increasingly exploit card not present (CNP) channels to generate fraudulent payments at scale, turning your own systems against you.

Existing fraud detection tools lag behind, unable to connect all of the suspicious account, transaction, and behavioral information across customers and accounts. Static AI tools, while an improvement over rules-based systems, lose accuracy over time. These critical capability gaps leave your institution facing a dual challenge. Inaccurate anomaly detection causes high false positives that block legitimate transactions, while the financial and operational costs of fraud and chargeback reimbursements often fall directly on you.

Lynx’s adaptive AI empowers you to detect fraud with precision, at scale and in real time:

• Daily Adaptive Models: Our sophisticated machine learning models self-learn and adjust to new types of fraud daily, unlike static models that take months to update. You automatically stay current with the latest threats to stop more fraudulent transactions.
• Comprehensive real-time detection: By analyzing every transaction across every channel in milliseconds, Lynx identifies fraud the moment it occurs. You stop financial losses before they happen.
• Lower false positives: Our models continuously learn to understand shifting customer behavior with precision, enabling you to minimize customer friction while preventing costly fraudulent chargebacks and unauthorized transactions.

With Lynx, you’re empowered to adapt as fast as fraudsters to protect your institution and customers.