How to Measure Anything in Cybersecurity Risk – Ebook Instant Download/Delivery ISBN(s): 9781119892304,1119892309,9781119892311, 1119892317
Product details:
- ISBN-10 : 1119892317
- ISBN-13 : 9781119892311
- Author: Douglas W. Hubbard, Richard Seiersen , James Patrick Cronin
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 best-selling 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 contents:
CHAPTER 1: The One Patch Most Needed in Cybersecurity
CHAPTER 2: A Measurement Primer for Cybersecurity
CHAPTER 3: The Rapid Risk Audit
CHAPTER 4: The Single Most Important Measurement in Cybersecurity
CHAPTER 5: Risk Matrices, Lie Factors, Misconceptions, and Other Obstacles to Measuring Risk
CHAPTER 6: Decompose It
CHAPTER 7: Calibrated Estimates
CHAPTER 8: Reducing Uncertainty with Bayesian Methods
CHAPTER 9: Some Powerful Methods Based on Bayes
CHAPTER 10: Toward Security Metrics Maturity
CHAPTER 11: How Well Are My Security Investments Working Together?
CHAPTER 12: A Call to Action
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