ARIC™ for Check Fraud
Check fraud is surging and two-thirds of financial institutions admit it’s one of the hardest fraud types to detect.
Check fraud is surging and two-thirds of financial institutions admit it’s one of the hardest fraud types to detect.
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ARIC™ for Check Fraud is the newest product in our award-winning payment fraud prevention platform that delivers comprehensive protection against both inbound and outbound check fraud across all channels. Powered by self-learning, behavior-based AI, our software can track even the smallest shifts in your customers’ footprints. This means you’ll detect anomalies faster and stop fraud sooner, whether it’s check deposit, on-us, or in-clearing checks. When something’s not quite right, you’ll know. Fast.
Request a demo to start detecting the unusual
shifts in your customers’ footprints
With check fraud estimated to have exceeded $24 billion in 2023, this traditional payment method has been growing into a prime target for criminals². Discover how criminals are evolving their tactics in our latest research: Read the Reinventing Check Fraud Report.
Manual reviews and outdated tools miss today’s complex fraud, driving losses, inefficiencies, and eroding customer trust.
Legacy check float and hold processes delay access to legitimate funds, frustrate customers, and strain already stretched fraud teams.
Develop adaptive behavioral profiles of your customers to understand what genuine behavior looks like across deposits, on-us and in-clearing.
Leverage advanced AI image analysis to perform signature, stock and style validation, either directly within the ARIC UI or via a direct link to an existing investigation UI.
Evaluate all payment types across all channels to gain a holistic view of check risk that spots the slightest shifts in your customers’ behavior.
Leverages self-learning, behavior-based AI to build a deep understanding of each customer’s typical activity for accurate fraud detection.
Enable plug and play workflows where the system orchestrates downstream actions within your payments ecosystem.
Identify suspicious alterations of signatures or payment amounts through image forensics powered by deep learning
Detect anomalies through check stock validation, including alterations to MICR numbers, payer name and address, or the memo line. Check image forensics marketplace enables choice of underlying imaging provider.
Uses adaptive analytics to assess withdrawal and deposit activity, detecting potential check float exploitation.
Singular, seamless integration allows for deposit monitoring across all channels. Adaptive behavioral profiles alert against suspicious value, velocity and withdrawal activity across deposits and other payment channels.
ARIC's adaptive behavioral profiles allow for the easy identification of multiple fraud risk signals such as high dollar values, unusual check sequencing, or high check payment velocity.
Monitors both inbound and outbound payment activity to detect fraudulent transactions.
¹Represents ARIC for Payments check deposit transaction volume marked as fraudulent across June 2023 to August of 2024 for the credit union.
²Orbograph, OrboGraph check fraud Detection Using Image Forensics, July 2024