Ebook How to Measure Anything in Cybersecurity Risk
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How to Measure Anything in Cybersecurity Risk
Ebook How to Measure Anything in Cybersecurity Risk
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From the Inside Flap
What if your single biggest cybersecurity risk was the risk assessment method itself? Even if your approach to assessing this critical risk makes you feel more confident about your decisions, you may actually be making things worse. How to Measure Anything in Cybersecurity Risk presents real solutions by skillfully applying the quantitative language of risk analysis to information security. As with his previous How to Measure Anything books, measurement expert Douglas Hubbard simplifies the complexity of quantifying uncertainty and sheds light on matters with little data or seemingly intangible goals—and here he taps cybersecurity influencer Richard Seiersen to dispel long-held beliefs about cybersecurity practices and provide authoritative guidance to solving problems by measuring risk. Together, they debunk popular risk scores and risk matrices and replace them with scientifically proven, yet practical, quantitative methods. Immediately useful, this practical guide offers an easy path to better risk assessment by describing a very simple quantitative solution, building on it with more advanced methods, and providing detailed advice for choosing the one for your needs. Regardless of your current understanding of cybersecurity or statistics, everything inside is fully accessible and equips you with a potent collection of strategies and tools from today's top experts in cybersecurity and risk assessment. This complete resource gets you there start to finish by: Debunking the most common arguments against using quantitative methods in cybersecurity Modeling risk with a variety of simple and advanced techniques for enhancing the usefulness of data in times of great uncertainty using free, downloadable spreadsheets Detailing a dependable, organization-wide security metrics maturity model for continuous and measurable improvement The thought process that goes into making informed decisions with sparse data points, using the described "Lens" method to reduce estimation errors, along with the many other techniques inside, will advance how you run cybersecurity as well as how you measurably improve other types of high-stakes decisions. How to Measure Anything in Cybersecurity Risk shows you nothing is immeasurable—including your peace of mind.
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From the Back Cover
Praise for How to Measure Anything in Cybersecurity Risk "I am excited to see a new method of risk management emerging from this book. Shifting from purely qualitative judgments and simplifications to a proven quantitative model that leverages measurements and the expertise of security professionals holds the promise for dramatically shifting how we manage cyber risk." —Patrick Heim, head of Trust & Security, Dropbox; former chief trust officer, Salesforce.com "A refreshing voice of reason in cybersecurity risk management. Richard and Douglas successfully rise above noisy security best practices and flashy methods; practitioners have a lot to gain from the clarity within this book's pages." —Vinnie Liu, partner at Bishop Fox; author of Hacking Exposed; former NSA "Cybersecurity has become one of the biggest risks facing companies today. There is a need to provide the tools and information for a CISO to become more of a chief information risk officer so they are better able to identify and prioritize risk, allocate resources, and develop effective risk mitigation strategies. This book helps to fill that need." —Steve Katz, the first CISO "At a time when forecasts tell you a great deal about the forecaster but nothing about the future, comes a practical guide for capturing and articulating risk in the board room with great success." —Tim McKnight, CISO, GE; former CISO, Fidelity
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Product details
Hardcover: 304 pages
Publisher: Wiley; 1 edition (July 25, 2016)
Language: English
ISBN-10: 9781119085294
ISBN-13: 978-1119085294
ASIN: 1119085292
Product Dimensions:
6.3 x 1.2 x 9.1 inches
Shipping Weight: 1.1 pounds (View shipping rates and policies)
Average Customer Review:
4.5 out of 5 stars
34 customer reviews
Amazon Best Sellers Rank:
#53,960 in Books (See Top 100 in Books)
Highly recommend this book for anyone who works specifically in Risk Management. For all of us who were taught in formal education to create Risk Matrices using ordinal scales (High/Med/Low) for risk...we were wrong! As a professional field, we need to correct our ways and take advice from actuarial science to do so. Insurance and other business entities have already solved this problem - it's time we use their techniques to solve ours in Cybersecurity Risk.Great work by the authors by moving beyond theory and working to make the advice as practical as possible for the rest of us. Concepts introduced in the book can be put into play on the job tomorrow.Side note: Don't be intimidated by the stats-heavy portions of the book. The authors and editors have done well to dumb these concepts down enough for the rest of us. Aside from perhaps 3 pages, there is very little math required to implement most of the advice in this book.
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.
Cybersecurity is frequently criticized for its lack of scientific rigor. This book provides scientific rigor to decision making and strategy within cybersecurity through a solid approach to quantitative risk analysis. By using examples and common tools, Hubbard shows how to apply probability concepts easily to solve questions that many businesses have regarding cyber security: How do I assess high impact / low occurrence events? How can I see the benefit of my investment in cybersecurity controls? How much is reasonable to invest in cybersecurity controls given my appetite for risk? Where should I invest to minimize my cybersecurity risks? If you are looking for a robust and scientific approach to cybersecurity risk analysis, this is the book for you.
Well written and detailed enough for geeks that need another way of looking at risk measurement. The standards of "high, medium, and low" risks are meaningless in most cases. This book is the first one that tries to get a more measurable and consistent view of how to relate risk that senior management can work with.
Absolutely essential for participants in any risk management program who want to get beyond faking things up with 3 level matrices. Quantitative risk analysis requires accuracy, but not absolute precision. This book gives great practical examples and training for getting to as much accuracy as you need for a given application. Study it, and make better decisions for your program.
This was an eye opener for me. Applying statistics can bring a lot of value to cybersecurity and this book presents good examples on how to use it. I would highly recommend for cybersecurity professionals but you might want to brush up your statistic background to fully benefit from the topics covered here.
Interesting read, and very relevant to calculating Risk. I just wish he would have gone deeper into how to actually implement these models.
Outstanding book. Walks you through going from qualitative assessments to applying quantitative rigor to cyber risk assessments. These methods (shown) brings cyber risk assessment and management more into conformance with standard risk management practices.
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