How to Measure Anything in Cybersecurity Risk, Second Edition
- 14h 5m 41s
- Douglas W. Hubbard, Richard Seiersen
- Gildan Media
- 2023
In How to Measure Anything in Cybersecurity Risk, Second Edition, a pioneering information security professional and a leader in quantitative analysis methods deliver yet another eye-opening text applying the quantitative language of risk analysis to cybersecurity. In the book, the authors demonstrate how to quantify uncertainty and shed light on how to measure seemingly intangible goals. It's a practical guide to improving risk assessment with a straightforward and simple framework.
Advanced methods and detailed advice for a variety of use cases round out the book, which also includes:
- A new “Rapid Risk Audit” for a first quick quantitative risk assessment.
- New research on the real impact of reputation damage
- New Bayesian examples for assessing risk with little data
- New material on simple measurement and estimation, pseudo-random number generators, and advice on combining expert opinion
Dispelling long-held beliefs and myths about information security, How to Measure Anything in Cybersecurity Risk is an essential roadmap for IT security managers, CFOs, risk and compliance professionals, and even statisticians looking for novel new ways to apply quantitative techniques to cybersecurity.
About the Author
DOUGLAS W. HUBBARD is the inventor of the Applied Information Economics (AIE) method and the founder of Hubbard Decision Research. He is an internationally recognized expert in the area of decision analysis.
RICHARD SEIERSEN is the Chief Risk Officer of Resilience, a cyberinsurance firm. He is the former Chief Information Security Officer at LendingClub, Twilio, and GE Healthcare and Co-founder of the cloud native security company Soluble – sold to Lacework in 2021.
In this Audiobook
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Introduction
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Chapter 1 - The One Patch Most Needed in Cybersecurity
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Chapter 2 - A Measurement Primer for Cybersecurity
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Chapter 3 - The Rapid Risk Audit: Starting with a Simple Quantitative Risk Model
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Chapter 4 - The Single Most Important Measurement in Cybersecurity
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Chapter 5 - Risk Matrices, Lie Factors, Misconceptions, and Other Obstacles to Measuring Risk
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Chapter 6 - Decompose It: Unpacking the Details
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Chapter 7 - Calibrated Estimates: How Much Do You Know Now?
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Chapter 8 - Reducing Uncertainty with Bayesian Methods
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Chapter 9 - Some Powerful Methods Based on Bayes
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Chapter 10 - Toward Security Metrics Maturity
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Chapter 11 - How Well Are My Security Investments Working Together?
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Chapter 12 - A Call to Action: How to Roll Out Cybersecurity Risk Management
