Cybersecurity Risk Assessment with Bayesian Networks
Corey Neskey | Vice President, Quantitative Risk, Hive Systems
About this talk
Quantifying cybersecurity risk is the first step to optimizing your organization’s cybersecurity budget. Quantitative risk is increasingly becoming the regulatory standard and an expectation from investors for communicating risk. Penetration testing, frameworks, and ordinal scoring aren’t the right tools for the job - so what is?
In this 45-minute workshop, Corey Neskey will provide an introduction to Bayesian networks in plain English, without the math, and in an approachable way for IT, cybersecurity, and risk professionals. Corey will also show where Bayesian networks fit into traditional risk assessment methodologies and frameworks. We’ll also help answer:
-What are Bayesian networks?
-Why are Bayesian networks promising for cybersecurity risk management?
-How can Bayesian networks replace what we’re doing now for cybersecurity risk assessment?
-How do Bayesian networks compare to Monte Carlo simulation for quantifying risk?
Corey will draw on years of experience with applying scientific insights in risk quantification and expert knowledge elicitation. Join us to gain a better understanding of how you can improve your risk assessment methodology with the latest that scientists have to offer.
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