Cyber Risk Modeling New York

This course will cover risk management and quantification and the importance of data to assess cyber risk. There will be practical examples of portfolio modeling in the insurance industry ad cyber risk modeling in financial institutions.

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Cyber Risk & Modeling Methodologies

New York, 28 - 29 March 
 

View Agenda Pricing and Registration

This training course programme has been designed to provide attendees with the tools needed to implement and govern cyber risk frameworks. It will help delegates understand the modeling options currently available in the financial and insurance industry through case studies and practical learning. 

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Learning Outcomes

Delegates will gain a new or improved knowledge of:

  • Current regulatory requirements and how to develop accurate risk based approaches for cyber security risk
  • Modeling cyber risk
  • The various technological tools available to quantify cyber risk 
  • How cyber risk and operational risk integrate and can learn from each other
  • Subjective approaches to cyber risk 
  • Third party vendor risk and how it relates to fraud detection and the security function
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Who Should Attend?

Relevant departments may include but are not limited to:

  • Critical infrastructure
  • Compliance and Operational Risk 
  • Risk Quantification 
  • Fraud Prevention 
  • AI & Data Innovation 
  • Information Security 
  • Financial Crime
  • CISO 
  • Cyber Risk 
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Agenda Sessions
  • Cyber risk management 
  • Risk process - Scenario design and analysis 
  • Case Study - Quantifying cyber security risk 
  • Risk management & quantification - portfolio view
  • Case Study - Taking third-party vendor risk from individual to portfolio level 
  • Case Study - Portfolio risk 
  • Portfolio modeling and individual risk 

Downtown Conference Center

157 William Street
New York
NY 10038
T: 1-212-618-6990  
Toll free- 877-DCC-MEET (322-6338)

Venue information

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