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
Session 1 (12 min): 2021 Cyber and Malware Complexity - Overview of Cyber Fraud complexity and federal mandates and process changes that impact audit and compliance
Session 2 (12 min): Solution Demonstration - Demonstrate how to visualize Cyber threat information, Graph and Machine Learning, & Visualization solutions for processes improvements, provide alerts, & case management
Session 3 (12 min): How ML & Graph Can Help - AI & ML use cases for fraud investigation, complex Cyber dependency with ‘human-in-the-loop’ technology, accuracy improvements, and process streamlining
Session 4 (12 min): What Does New Technology Bring to the Party? How does all of the new FinTech like TigerGraph, ML & deep link analysis help Financial Services teams fight Cyber Fraud?
Session 5 (5 min): Open Q&A