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For the past 25 years, network defenders have been doing risk assessments wrong. Qualitative risk matrices and heat maps are just bad science. The “new” math consists of latency curves, Bayes algorithm and Monte Carlo simulations. Come see how to do them.
Learning Objectives:
1: Review the literature and advanced thinking about why qualitative risk matrices are bad.
2: Learn how to run Monte Carlo simulations on your key risks and combine them using Bayes Algorithm.
3: Learn how to build loss exceedance curves.
Pre-Requisites:
Familiar with Excel, basic understanding of statistics.
Learning Objectives:
1: Review the literature and advanced thinking about why qualitative risk matrices are bad.
2: Learn how to run Monte Carlo simulations on your key risks and combine them using Bayes Algorithm.
3: Learn how to build loss exceedance curves.
Pre-Requisites:
Familiar with Excel, basic understanding of statistics.
Participants
Colonel David Caswell
Participant
Permanent Professor and Head, Department of Computer and Cyber Sciences, United States Air Force Academy
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