Risk scoring for card present and card-not-present transactions is still notoriously inaccurate. Here are a few tips that can help improve your ability to quickly identify suspect transactions, and approve or decline them correctly.
Digital banking applications
Take five to learn how you can utilize payment data acquisition, machine learning capabilities and a highly configurable rules-based alerts engine to detect and prevent payment fraud in real-time – we are talking milliseconds!
Discover the top 7 features of INETCO Insight 7’s new payment fraud detection and prevention configuration with a rules-based alerts engine and adaptive machine learning.
INETCO Insight 7 platform primed for instant detection of payment fraud attacks, precise real-time risk scoring and immediate isolation of suspicious transaction behavior across ATM, POS, Payment Card Issuance and Digital Banking Channels.
Take a peek into the top 10 payment fraud alerts used by some the world’s leading financial institutions, card issuers and acquiring processors.
Find out how to monitor active/active environments without letting the tech get in the way.
Get creative and explore new ways to derive meaningful insights from your goldmine of real-time transaction data.
INETCO is pleased to announce that a new set of emerging real-time transaction data uses cases will be showcased at the upcoming RBR Self-Service Banking Europe Show.
UPCOMING WEBINAR – THURSDAY, APRIL 4th @ 10:30AM IST/4PM AEDT OR 10AM CST/12PM EDT
The ability to detect logical attacks such as ATM cash-outs as they are unfolding – not after the damage is done – continues to be a priority for IT operations and security teams concerned with payments security.