Features

SAM uses historical data to establish behavior modeling. Bottom line: a customer’s past activity is the best indicator for their future activity. Once you know what to expect, it’s easier to identify suspicious transactions.

• • Our behavior modeling for ACH transaction includes:

    • • • The daily monitoring of incoming and outgoing ACH transactions.

        • The daily monitoring of IATs, for both suspicious amounts and OFAC compliance.

        • SAM alerts you to potential corporate account takeovers (CATOs).

        • The system alerts you when customers are dealing with Bitcoin and other digital currencies.

          • This is very important when dealing with state laws protecting older customers.

        • SAM keeps track of returned ACH transactions and highlights unauthorized debits.

        • The system helps you determine your off-balance sheet risk for ACH originators.

        • It reports government benefit payments that may be posted illegally.

  • SAM offers easy-to-use check fraud detection:

    • • • The system monitors for duplicate presentment of the same check. (This type of fraud is  especially prevalent with mobile banking.)

        • The system also monitors for checks with amounts and/or numbers outside of an expected range. 

  • The system also has “all-items” monitoring abilities:

    • • • SAM warns you when large debits appear to be presented against uncollected funds.

        • The system advises you when it detects a customer who is kiting.

        • It warns you when customers have 90+ days between transactions (a frequent indicator of elder abuse or theft from an estate.)