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
1
Foreword
2
Foreword
3
Acknowledgments
4
About the Authors
9
Index
10
EULA

How Catastrophe Modeling Can Be Applied to Cyber Risk

Scott Stransky, assistant vice president and principal scientist at AIR Worldwide

Tomas Girnius, PhD, manager and principal scientist at AIR Worldwide

One may wonder how a company proficient in building models to estimate losses from hurricanes and other natural disasters can use their techniques to build a similar model for estimating losses from cyberattacks.

Hurricane Andrew spawned the catastrophe-modeling industry. Although catastrophe models existed prior to that storm in 1992, they were not used by decision makers, nor were they used to their full potential. When the storm struck south Florida, AIR issued modeled loss estimates on the order of $13 billion, a figure that the insurance industry scoffed at for being far too high. As the claims for Andrew started to pile up, 11 insurers went out of business, and the rest of the industry began to see the value in running models. The “Hurricane Andrew of Cyber” has yet...