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.


Cyber Risk Modeling: 

FAIR Analysis Fundamentals

New York, 23-24 October 2019

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As the number and complexity of cybersecurity attacks continues to increase, it is more important than ever that organizations have the ability to measure risk from various scenarios and prioritize the scenarios with the largest forecasted losses for mitigation. Once a scenario is selected for mitigation, it is critical that the most cost-effective solution be chosen - that is, the solution that reduces the largest amount of risk per dollar spent in implementation. FAIR-based risk analysis enables these decisions and many more.

What will you receive from this course?
  • Understand, explain, and apply consistent FAIR-based terminology
  • Apply the FAIR model to risk scenarios
  • Use various measurement concepts to select scenarios for analysis and estimate risk factors using probability distributions
  • Understand the use of calibrated estimation in quantitative risk analysis
  • Follow a consistent process to scope risk scenarios for analysis
  • Map various controls to corresponding parts of the FAIR model
  • Understand and interpret the results of a FAIR analysis
  • Apply their knowledge to case studies based on real-life analyses
Who Should Attend?

This course will benefit anyone who needs to understand how to measure and manage cyber risk, including:

  • Chief Risk Officers
  • Chief Information Security Officers
  • Chief Information Officers
  • Enterprise Risk Management leaders and analysts
  • Information Risk Management leaders and analysts
Sessions Include
  • Risk Management: Process and Goals
  • The Flaws of Traditional/Qualitative Risk Management
  • The Risk Lexicon
  • Effective Risk Management Using FAIR
  • FAIR Fundamentals
  • Foundational Concepts
  • Making Calibrated Estimates
  • The FAIR Model
  • Monte Carlo Simulation
  • The Risk Analysis Sub-Process
  • Considering Controls in FAIR Analyses