Book Image

How to Measure Anything in Cybersecurity Risk

By : Douglas W. Hubbard, Richard Seiersen
Book Image

How to Measure Anything in Cybersecurity Risk

By: Douglas W. Hubbard, Richard Seiersen

Overview of this book

How to Measure Anything in Cybersecurity Risk exposes the shortcomings of current “risk management” practices, and offers a series of improvement techniques that help you fill the holes and ramp up security. In his bestselling book How to Measure Anything, author Douglas W. Hubbard opened the business world’s eyes to the critical need for better measurement. This book expands upon that premise and draws from The Failure of Risk Management to sound the alarm in the cybersecurity realm. Some of the field’s premier risk management approaches actually create more risk than they mitigate, and questionable methods have been duplicated across industries and embedded in the products accepted as gospel. This book sheds light on these blatant risks and provides alternate techniques that can help improve your current situation. You’ll also learn which approaches are too risky to save and are actually more damaging than a total lack of any security. Dangerous risk management methods abound; there is no industry more critically in need of solutions than cybersecurity. This book provides solutions where they exist and advises when to change tracks entirely.
Table of Contents (12 chapters)
Free Chapter
About the Authors


Page references in italics refer to figures.


  • “absurdity test”
  • Adobe
  • Advanced Data Stealing Threat (ADST) (dimensional modeling use case)
  • “Aggregating Data Sources for Cyber Insights” (Lipkis, Chan, Lee)
  • AIR Worldwide
  • alpha distribution parameters
    • beta distribution, overview
    • beta distribution case (AllClear ID), (See also beta distribution parameters)
    • overview
    • SDA example model (R programming)
    • truncated power law and
  • “analysis placebo”
  • analytics technology, building. See also business intelligence (BI)
  • anchoring
  • Andreassen, Paul
  • Anthem
  • Aon
  • APIs (application program interfaces)
  • Armstrong, J. Scott
  • assets
    • at-risk value of assets
    • dimensional modeling example
  • “assumptions”, avoiding
  • attack surface, defined
  • Attitudes Toward Quantitative Methods (ATQM) (survey)
  • audits


  • Bayes, Thomas
  • “Bayesian” interpretation
  • Bayesian methods
    • applying
    • Bayes and probability theory, overview
    • Bayes triplot and beta select...