With a growing number of customer transactions shifting to cards and the ATM self-service channel, Woodforest knew they needed to optimize the health of their electronic payments ecosystem.
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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.
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.
Your neighborhood ATM has always been a tempting target. Fraudsters play on the vulnerabilities of the cash dispenser, and one variation of that is Transaction Reversal Fraud (TRF).
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.
With 1,946 US branch closures in 2018, do you have access to the right data to ensure that your ATM fleet is ready to provide an enhanced customer experience while remaining profitable?