TOPIC: 314(b) Information Sharing

Demonstration | BSA/AML Compliance, Fraud Detection & High-Risk Customer Management - Join us June 19

June 19 at 12:30 PM - 01:30 PM EST
BSA/AML Compliance, Fraud Detection & High-Risk Customer Management
A Consolidated Financial Crime Management Platform


Register Now

Today’s criminals do not limit their illicit activities to a single financial institution. More and more, multiple institutions are targeted for increasingly complex financial crimes. As these criminals evolve, traditional approaches to combat crime are largely ineffective.

The Verafin Financial Crime Management platform includes highly targeted detection scenarios that are enriched through big data intelligence with open-source and third-party data and provides cross-institutional analysis and collaborative investigations through the power of the Verafin Cloud. The result? Higher-quality alerts, expedited investigations, and richer, more detailed reporting.

Highlights of this software demonstration will include:
  • End-to-end High-Risk Customer Management and CDD/EDD
  • Targeted BSA/AML and fraud detection scenarios
  • Risk-rated alerts enriched with third-party, open-source and cloud data, and visual investigation tools
  • Cross-institutional detection and Secure 314(b) Information Sharing 
  • Complete BSA/AML Compliance and Management with process automation
Register Now

    Demonstration | BSA/AML Compliance, Fraud Detection & High-Risk Customer Management - Join us June 19

    June 19 at 12:30 PM - 01:30 PM EST
    BSA/AML Compliance, Fraud Detection & High-Risk Customer Management
    A Consolidated Financial Crime Management Platform


    Register Now

    Today’s criminals do not limit their illicit activities to a single financial institution. More and more, multiple institutions are targeted for increasingly complex financial crimes. As these criminals evolve, traditional approaches to combat crime are largely ineffective.

    The Verafin Financial Crime Management platform includes highly targeted detection scenarios that are enriched through big data intelligence with open-source and third-party data and provides cross-institutional analysis and collaborative investigations through the power of the Verafin Cloud. The result? Higher-quality alerts, expedited investigations, and richer, more detailed reporting.

    Highlights of this software demonstration will include:
    • End-to-end High-Risk Customer Management and CDD/EDD
    • Targeted BSA/AML and fraud detection scenarios
    • Risk-rated alerts enriched with third-party, open-source and cloud data, and visual investigation tools
    • Cross-institutional detection and Secure 314(b) Information Sharing 
    • Complete BSA/AML Compliance and Management with process automation
    Register Now

      [Infographic] Basics of 314(b) Collaboration: 12 Tips for Sharing Information

      Infographic
      Basics of 314(b) Collaboration
      12 Tips for Sharing Information


      Download Now

      This infographic introduces you to peer collaboration through Section 314(b) of the USA PATRIOT Act. To help you get started collaborating wiI have tried to sway them to the ACH Origination, because there is at least agreements in place. We require dual control, out of band authentication and require them to keep their computers updated etc. Yes, not being able to impose the safety measures is my concern. Thank you for your response.

        ACAMS Replay - 1 CAMS Credit | Leveraging Big Data and Collaborative Investigations for Effective Fraud Prevention - Today, May 22

        Webinar
        Leveraging Big Data and Collaborative Investigations for Effective Fraud Prevention
        Today, May 22 from 12:30 – 1:30 PM EST

        Register Now

        In this insightful session, Brendan Brothers, Co-Founder of Verafin and Anti-Financial Crime Specialist, will discuss the evolution of financial crime and how financial institutions can embrace innovative approaches to proactively prevent fraud and combat crime ring activity.

        Brendan will outline how financial institutions can leverage big data, machine learning technology and 314(b) information sharing for effective fraud prevention, including proactive trend identification, reduction in false positive results, and collaborative investigations of multi-institutional crime ring activity.

        Learning Objectives
        • Understand the limitations and challenges of conventional fraud prevention approaches
        • Leveraging big data, machine learning technology, and 314(b) information sharing to mitigate losses and prevent fraud
        • Enhancing detection, strengthening investigations, and improving reporting to law enforcement
        Register Now