Table of Contents
List of Tables
- Chapter 3
- Chapter 5
- Chapter 6
- Chapter 7
- Chapter 9
- Chapter 11
List of Illustrations
- Chapter 1
- Chapter 3
- Chapter 4
- Chapter 5
- Chapter 6
- Chapter 7
- Chapter 9
- Chapter 10
- Chapter 11
- Chapter 12
- Appendix A
Guide
Pages
How to Measure Anything in Cybersecurity Risk
Second Edition
DOUGLAS W. HUBBARD
RICHARD SEIERSEN
Copyright 2023 by John Wiley & Sons, Inc. All rights reserved.
Published by John Wiley & Sons, Inc., Hoboken, New Jersey.
Published simultaneously in Canada.
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Library of Congress CataloginginPublication Data is Available:
ISBN 9781119892304 (Hardback)
ISBN 9781119892328 (ePDF)
ISBN 9781119892311 (ePub)
Cover Design: Wiley
Cover Images: Cyber security lock Henrik5000/iStockphoto;
Cyber eye kasahasa/Getty Images;
Internet Security concept bluebay2014/Getty Images;
Background omergenc/Getty Images;
Abstract business background Natal'ya Bondarenko/Getty Images;
Abstract business background procurator/Getty Images;
Cloud Computing derrrek/Getty Images
Douglas Hubbard's dedication: To my children, Evan, Madeleine, and Steven, as the continuing sources of inspiration in my life; and to my wife, Janet, for doing all the things that make it possible for me to have time to write a book, and for being the ultimate proofreader.
Richard Seiersen's dedication: To all the ladies in my life: Helena, Kaela, Anika, and Brenna. Thank you for your love and support through the book and life. You make it fun.
Doug and Richard would also like to dedicate this book to the military and law enforcement professionals who specialize in cybersecurity.
Foreword for the Second Edition
Jack Jones
Chief Risk Scientist at RiskLens
Chairman of the FAIR Institute
I clearly recall my first conversation with Douglas about fifteen years ago. In the midst of trying to build a consulting practice around my Factor Analysis of Information Risk (FAIR) model, I had just read the first edition of his brilliant How to Measure Anything book and wanted to pick his brain. But what stood out most during our conversation wasn't Doug's incredible depth of knowledgeit was his passion for sharing insights with others. Similarly, when I first met Richard at an SIRA conference some years ago, he exhibited the same depth of knowledge and oozed the same passion. And although deep expertise is obviously important for their work, it's their passion for helping others that provides the energy and intestinal fortitude to challenge conventional wisdom and lead our profession to higher ground.
In this book, Doug and Richard continue to apply their passion to the topic of reducing uncertainty and making (much) better decisions in a profoundly complex problem space. As a cybersecurity professional for over thirtyfive years and a CISO for over 10 years, I can attest to how important this is.
Anyone who's been in the cybersecurity trenches for any length of time will be familiar with some of the common measurementrelated challenges we face. Religious debates about whether something is high risk or medium risk, an inability to effectively measure and communicate to stakeholders the dangers associated with changes in the risk landscape or the value of improved controls, even simply being confident and logically consistent in determining which problems deserve the most attention has been an elusive objective for many in the profession. This is also why I've focused so strongly on understanding and measuring cybersecurity risk for over 20 years, which led me to develop the FAIR and FAIR Controls Analytics (FAIRCAM) models.
My own research also allows me to attest to the strengths of Doug and Rich's methods. It is, unfortunately, incredibly easy to apply quantitative methods badly, which results not only in poorly informed decisions but also a false sense of security because you used numbers. This book does an outstanding job of laying the groundwork for defensible measurements.
That said, if you're concerned about whether this book might be too mathy, rest assured that you do not need a background in calculus or statistics to find tremendous value here. Doug and Rich discuss the pitfalls of common approaches such as risk matrices and unaided intuition, dismantle prevailing misperceptions surrounding risk measurement, and describe the fundamental principles of good measurement in terms that anyone can understand and apply. They also provide very pragmatic methods and tools that anyone can use.
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