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Check out our reservoir of information related to check recognition and healthcare payment technologies. We frequently update this section with the latest news, trends, and analysis of the banking and healthcare industries.

Reg CC

Compilation of resources to help you navigate Reg CC

Platform Modernization

Both the financial and healthcare industries are undergoing modernization initiatives in check payments and remittance.  See how OrboGraph is using AI, self-learning and deep learning models to drive innovation in these industries to deliver workflow automation.

Healthcare Payments

OrboAccess automates remittance and payment posting as well as enables full research and business intelligence analysis for RCM companies, clearinghouses, billers, and providers.

Check Processing

OrboAnywhere automates paper originated payments (i.e. checks, money orders, drafts) and remittances for balancing and posting while reducing risk and losses in the areas of check fraud, payment negotiability and compliance.

Anywhere Fraud

Transaction and image analysis technologies prevent and detect counterfeits, forgeries and alterations in on-us and transit fraud use cases.

Anywhere Fraud

Anywhere Fraud applies image analysis (automated signature verification, check stock validation) with optional transaction analysis (data analytics) to on-us and transit checks for identification of counterfeits, forgeries, and alterations in real-time or batch processing. Anywhere Fraud can be applied to any traditional or self service check workflow including:  Inclearings, teller, ATM, mobile or RDC.

 

Anywhere Fraud is built on the foundation of targeted analyzers performed on an account level.  These account profiles leverage self learning algorithms to adapt to the image and transactional characteristics of each account. The system builds a history of image snippets and transactional data of check writers for batch or real-time fraud detection capabilities. 

 

In dealing with fraud prevention, low suspect rates blended with high detection rates are the most critical objectives for an optimized system.  However, today’s criminals also move across channels by depositing fraudulent checks, then moving funds via ACH or Real Time Payments (RTP).  Anywhere Fraud is built for real-time detection to stop these cross channel deposits while minimizing the manual labor requirements of suspect review via the combination of multiple powerful technologies:

  • Image Analysis (On-Us or Transit)
    • ASV: Automated Signature Verification
    • CSV: Check Stock Validation
    • Alteration Detection
    • Account Profiling
    • Signature Presence Detection
    • Two Signatures Required
    • Fraudulent Image Matching
    • ASV on Deposit Tickets
    • New Account Identification
    • Closed Account Identification
    • Inactive Account Identification
    • Watch List
    • Dormant Account
    • Real-Time Interface
  • Transaction Analysis (On-Us Only)
    • Serial Out of Range with multiple account holders
    • Amount Out of Range
    • Duplicate Detection
    • Amount Thresholding
    • New Account Identification
    • Closed Account Identification
    • Inactive Account Identification
    • Watch List
    • Dormant Account
    • Real-Time Interface

Many systems in today’s market are deployed using only data analytics or early versions of AI. This approach is very limited, as the nature of check fraud detection is to verify image attributes. For these clients, Anywhere Fraud is a perfect complement, used as a mechanism to clear checks which were previously identified as suspects, or as an automated tool to validate check stock, signatures and alteration scenarios. If full analytics are required, Transaction Analysis can also be applied.

Note: In most cases, the existing suspect review platform is utilized to review suspected fraud items along with companion images.  This enables the financial institution to keep a consolidated review workflow without creating additional overhead or system administration.

Anywhere Fraud highlights include:

  • Use of “known fraudulent images”: used to detect fraud attempts which match the check stock or signature of previous fraudulent items
  • Profiling of multiple R&T on-us numbers and transit R&Ts: prevents a wide range of on-us and deposit fraud use cases
  • Real-time interface from any deposit/capture channel across the omnichannel: delivers instantaneous fraud detection across traditional and self service workflows
  • Automated signature verification on deposit tickets: matches signatures on tickets to customer profiled signatures

Want to learn more?

Anywhere Fraud Brochure

Tangible Achievements:

  • Reduce losses of counterfeits, forgeries and alterations of on-us checks
  • Reduce losses for deposit fraud in dealing with counterfeit transit checks
  • Reduce losses in on-us check cashing
  • Reduce losses in transit check cashing
  • Protect on-us customers from fraudulent events
  • Enhance interbank check clearing by replicating loss prevention practices
  • Streamline suspect review process with companion images

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