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

Chapter 6
Decompose It: Unpacking the Details

The everyday meanings of most terms contain ambiguities significant enough to render them inadequate for careful decision analysis.

—Ron Howard, Father of Decision Analysis1

Recall the cybersecurity analyst mentioned in Chapter 5 whose estimate of a loss was “$0 to $500 million” and worried how upper management would react to such an uninformative range. Of course, if such extreme losses really were a concern, it would be wrong to hide it from upper management. Fortunately, there is an alternative: Just decompose it. Surely such a risk would justify at least a little more analysis.

Impact usually starts out as a list of unidentified and undefined outcomes. Refining this is just a matter of understanding the “object” of measurement as discussed in Chapter 2. That is, we have to figure out what we are measuring by defining it better. In this chapter, we discuss how to break up an ambiguous pile of outcomes...