TOPIC: Risk Assessment

Demonstration | End-to-End High-Risk Customer Management & CDD/EDD - Join us on May 29

May 29 at 12:30 PM - 01:30 PM EST
End-to-End High-Risk Customer Management & CDD/EDD
Identification, Stratification, Surveillance & EDD Workflows for High-Risk Customers


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How accurate is your institution’s customer risk profile? A one-size-fits-all approach to customer risk can lead to thousands of high-risk customers being flagged for continuous review, increasing your workload.
 
Verafin’s end-to-end solution for High-Risk Customer Management and CDD/EDD helps you effectively manage higher-risk categories of customers, including ATM Owners, MRBs, MSBs, NGOs, and more.

Join us as we demonstrate how Verafin groups customers in high-risk categories, stratifies the risk within those groups and, through ongoing surveillance, provides a more accurate picture of your institution’s risk profile.

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    Case Study | Reducing Risk: Finding High-Risk Accounts & Preventing Fraud Losses in Real Time

    Case Study
    Reducing Risk: Finding High-Risk Accounts & Preventing Fraud Losses in Real Time

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    “With Verafin’s Private ATM Owner finder alerts, we discovered we actually had 45 [ATM owners]. It was eye opening that there were high-risk customers we didn’t know about.
    I am so glad that Verafin found these private ATM owners prior to our next exam. Not knowing … could have resulted in a finding, or worse, a fine for the bank.”

    Stacey Iverson, BSA and Fraud Officer, Bell Bank ($5.4B)
    When an examination in early 2018 reinforced the fact that Bell Bank ($5.4B) needed a more robust program for customer due diligence (CDD), enhanced due diligence (EDD) and identifying high-risk customers, the institution turned to Verafin to get prepared for Ultimate Beneficial Ownership, and strengthen their high-risk customer management and CDD/EDD processes.

    In this case study, you’ll read how BSA and Fraud Officer Stacey Iverson, and her team at Bell Bank, have increased confidence going into their next exam, thanks to the extra level of scrutiny that Verafin’s robust CDD/EDD solutions provide for identifying and managing their high-risk customers.

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      Demonstration | Mitigating and Managing Deposit Fraud Losses - Join us on June 5

      June 05 at 12:30 PM - 01:30 PM EST
      Mitigating and Managing Deposit Fraud Losses
      Cross-Channel Analysis & Machine Learning for Improved Fraud Detection


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      Financial institutions across the country are facing an increasing number of deposit fraud attacks as criminals take advantage of the anonymity and convenience of ATM and mobile channels. Meanwhile, consumers are increasingly falling victim to fraud scams, which can have significant emotional and financial effects.

      Join us for an overview of Verafin's Fraud Detection and Management which includes powerful detection capabilities to mitigate losses from first-party ATM, In-Branch and Mobile deposit schemes, and protects your customers from third-party fraud scams. 
       
      Highlights of this software demonstration include:
      • Targeted alerts for first-party deposit fraud
      • Targeted alerts for deposit fraud scams
      • Machine Learning deposit fraud models
      • Risky Check Analysis
      • Fraud Management solutions
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        Risk Assessment for Security Control

        CIO at a credit_union ($428MUSA)
        Instead of purchasing a Network Access Control server we have decided to do MAC Address Filtering instead. When it was discussed with our NCUA auditor; it was indicated that this would be acceptable providing we did a risk assessment for this control option. Does anyone have a sample of a risk assessment for something like this?