---
product_id: 254178080
title: "How to Measure Anything in Cybersecurity Risk"
price: "C$7493"
currency: NIO
in_stock: true
reviews_count: 5
url: https://www.desertcart.ni/products/254178080-how-to-measure-anything-in-cybersecurity-risk
store_origin: NI
region: Nicaragua
---

# How to Measure Anything in Cybersecurity Risk

**Price:** C$7493
**Availability:** ✅ In Stock

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- **What is this?** How to Measure Anything in Cybersecurity Risk
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## Description

Buy How to Measure Anything in Cybersecurity Risk by Hubbard, DW online on desertcart.ae at best prices. ✓ Fast and free shipping ✓ free returns ✓ cash on delivery available on eligible purchase.

Review: I was assigned this as one of the texts for a graduate-level seminar in cybersecurity and cyberwarfare economic risk analysis. This book is remarkable in that it presents a clear framework for "non-mathies" to become statistically literate enough to debunk common misconceptions and move beyond the standard qualitative "stoplight chart" style risk matrix charts into true quantifiable probabilities. The authors hold the readers hand each step of the way, beginning with a simple 3-step process to easily replace the standard stoplight risk matrix with actual quantifiable numbers. Fundamental points made by the authors include: - Experts who claim some elements are purely qualitative and cannot be measured are simply wrong and haven't properly defined what they are trying to measure ye. - "We don't have enough information to measure this" is a statement that refutes itself, because it claims there IS some threshold of measurement beyond which it can be "measured" -- implying it can be measured now since it can be compared to that imaginary threshold. - Virtually everything we encounter in any situation has already been measured and has math models for predicting behavior, we just need to figure out what we are trying to measure and find the models for it. - Claiming "there aren't enough samples for statistical significance" shows the person doesn't understand statistics -- a LOT of useful info can be gleamed from very small samples, and all we need to do is REDUCE uncertainty to be useful, not eliminate it. The authors guide the read through the entire process of building a gut-level intuition for basic statistical and probabilistic thinking and modeling, allowing readers to immediately stop using vague "hi/med/low" assessments (that are just as full of errors as any mathematical formulation) and start using quantifiable predictions that can be easily improved as more information becomes available. A great leader once told me that we typically only have about 70% of the information we want to have when the time comes to make a decision. This book helps you increase that number before decision time runs out.
Review: It was good

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN  | 1119085292 |
| Best Sellers Rank | #268,202 in Books ( See Top 100 in Books ) #197 in Econometrics & Economic Statistics #598 in Computer Security & Encryption #1,106 in Internet & Social Media |
| Customer reviews | 4.5 4.5 out of 5 stars (207) |
| Dimensions  | 16 x 2.54 x 23.62 cm |
| Edition  | 1st |
| ISBN-10  | 9781119085294 |
| ISBN-13  | 978-1119085294 |
| Item weight  | 516 g |
| Language  | English |
| Print length  | 304 pages |
| Publication date  | 23 September 2016 |
| Publisher  | John Wiley & Sons Inc |

## Images

![How to Measure Anything in Cybersecurity Risk - Image 1](https://m.media-amazon.com/images/I/717eLWfeDdL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Review
*by D***E on 20 February 2018*

I was assigned this as one of the texts for a graduate-level seminar in cybersecurity and cyberwarfare economic risk analysis. This book is remarkable in that it presents a clear framework for "non-mathies" to become statistically literate enough to debunk common misconceptions and move beyond the standard qualitative "stoplight chart" style risk matrix charts into true quantifiable probabilities. The authors hold the readers hand each step of the way, beginning with a simple 3-step process to easily replace the standard stoplight risk matrix with actual quantifiable numbers. Fundamental points made by the authors include: - Experts who claim some elements are purely qualitative and cannot be measured are simply wrong and haven't properly defined what they are trying to measure ye. - "We don't have enough information to measure this" is a statement that refutes itself, because it claims there IS some threshold of measurement beyond which it can be "measured" -- implying it can be measured now since it can be compared to that imaginary threshold. - Virtually everything we encounter in any situation has already been measured and has math models for predicting behavior, we just need to figure out what we are trying to measure and find the models for it. - Claiming "there aren't enough samples for statistical significance" shows the person doesn't understand statistics -- a LOT of useful info can be gleamed from very small samples, and all we need to do is REDUCE uncertainty to be useful, not eliminate it. The authors guide the read through the entire process of building a gut-level intuition for basic statistical and probabilistic thinking and modeling, allowing readers to immediately stop using vague "hi/med/low" assessments (that are just as full of errors as any mathematical formulation) and start using quantifiable predictions that can be easily improved as more information becomes available. A great leader once told me that we typically only have about 70% of the information we want to have when the time comes to make a decision. This book helps you increase that number before decision time runs out.

### ⭐⭐⭐⭐⭐ Review
*by O***E on 17 November 2019*

It was good

### ⭐⭐⭐ Review
*by D***D on 15 June 2024*

Read it and found some value but a little generic and simple. Still glad I read it

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*Product available on Desertcart Nicaragua*
*Store origin: NI*
*Last updated: 2026-03-02*