Fight Cyber Crime and Fraud with Graph and ML

Join us for a Webinar on Fighting Cyber Crime and Fraud

October 7, 2021
1:00 pm
CT  /
2:00 pm
ET

FOCUS OF WEBINAR  

2021 has given rise to sophisticated Cyber and ransomware style attacks. These attacks are gaining in sophistication and complexity by combined cyber and malware-based attacks with losses in billions. Many software efforts are being focused on simple detection and are not adequate for attacks that cross multiple investigation silos including AML, Fraud and Cyber investigation groups. These new attacks in 2021 reveal that internal firewalls between the investigational groups of cyberattacks, fraud, and financial crime must be broken down or institutions will face massive losses.

This session will focus on how new ML and Graph analytics can work together with simple deep link visualization to increase detection accuracy, decrease false positives, and increase transparency between silos to allow real time alerting to avoid sanctions and fines.

This event is designed in a speed dating format, focusing on how TigerFraud software can assist investigators, executives and special investigation teams of all types with key topics for under 15 minutes in order to maximize the insights. During this webinar, teams of experts from Expero and TigerGraph will show you how to leverage current technologies with TigerGraph, Machine Learning, and Visualizations to unlock the potential in your organization.


Key Learning Topics:

Unique Challenges in Cyber Security - Discuss the new FinCen reporting rules for Cyber Security and other impacts on compliance and how to identify real time threats

Watch List & Technology Innovations - How to utilize watch list data & breech data in real time with new technologies like master data matching, graph analytics, and ML, and how they assist in the reduction of false positives and increase accuracy

Empower the Cyber Investigator & Risk Team - Discuss capabilities in visualization and human intelligence technologies that will increase throughput and provide valuable data analytics, and create quicker and more efficient outcomes for Fraud Managers, Investigators, and Data and Analytics teams

Rise of ML & AI with ‘Explainable’ ML - How to implement practical methods of cyber identification, complex dependency and case management using ‘human-in-the-loop’ technology for higher accuracy and process streamlining

WHAT YOU'LL LEARN

THIS WEBINAR IS PRESENTED BY

October 7, 2021
1:00 pm
CT /
2:00 pm
ET

Hi there,

You are invited to a Zoom webinar.
When: Oct 7, 2021 01:00 PM Central Time (US and Canada)
Topic: Fight Cyber Crime and Fraud with Graph and ML

Please click the link below to join the webinar:
https://experoinc.zoom.us/j/92718369142?pwd=Vlk1UmdxSFV6dU9obzU2S0JNcWlPQT09
Passcode: 359956
Or One tap mobile :
   US: +13462487799,,92718369142#  or +12532158782,,92718369142#
Or Telephone:
   Dial(for higher quality, dial a number based on your current location):
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Webinar ID: 927 1836 9142
   International numbers available: https://experoinc.zoom.us/u/aq9IXGYy5

Register in advance for this webinar:
https://experoinc.zoom.us/webinar/register/WN_zGqcNbc-QjO4OZPR9PAZVg


After registering, you will receive a confirmation email containing information about joining the webinar.

Add to Calendar
Add to Calendar Oct 7, 2021 01:00 PM Oct 7, 2021 02:00 PM America/Chicago Expero Online Seminar: Fight Cyber Crime and Fraud with Graph and ML Hi there, You are invited to a Zoom webinar. When: Oct 7, 2021 01:00 PM Central Time (US and Canada) Topic: Fight Cyber Crime and Fraud with Graph and ML Please click the link below to join the webinar: https://experoinc.zoom.us/j/92718369142?pwd=Vlk1UmdxSFV6dU9obzU2S0JNcWlPQT09 Meeting ID: 92718369142 Passcode: 359956 Or iPhone one-tap : US: +16699006833,,92718369142# or +16468769923,,92718369142# Or Telephone: Dial(for higher quality, dial a number based on your current location): US: +1 669 900 6833 or +1 646 876 9923 Webinar ID: 92718369142 International numbers available: https://zoom.us/u/acsMb87P67 Online Organizer sales@experoinc.com false 11/01/2017 aQLrFIbcEzIdjnmocmhs26086
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