TY - BOOK AU - Hubbard,Douglas W. AU - Seiersen,Richard TI - How to measure anything in cybersecurity risk SN - 9781119892304 AV - HV6773.15.C97 H835 2023 U1 - 658.4/78 23 PY - 2023/// CY - Hoboken, New Jersey PB - Wiley KW - Cyberterrorism KW - Cyberspace KW - Security measures KW - Risk management KW - Risk Management N1 - Table of Contents Foreword for the Second Edition Jack Jones ix Acknowledgments xiii Preface xv Introduction 1 Part I Why Cybersecurity Needs Better Measurements for Risk 5 Chapter 1 The One Patch Most Needed in Cybersecurity 7 Chapter 2 A Measurement Primer for Cybersecurity 21 Chapter 3 The Rapid Risk Audit: Starting With a Simple Quantitative Risk Model 43 Chapter 4 The Single Most Important Measurement in Cybersecurity 73 Chapter 5 Risk Matrices, Lie Factors, Misconceptions, and Other Obstacles to Measuring Risk 101 Part II Evolving the Model of Cybersecurity Risk 133 Chapter 6 Decompose It: Unpacking the Details 135 Chapter 7 Calibrated Estimates: How Much Do You Know Now? 155 Chapter 8 Reducing Uncertainty with Bayesian Methods 183 Chapter 9 Some Powerful Methods Based on Bayes 193 Part III Cybersecurity Risk Management for the Enterprise 231 Chapter 10 Toward Security Metrics Maturity 233 Chapter 11 How Well Are My Security Investments Working Together? 257 Chapter 12 A Call to Action: How to Roll Out Cybersecurity Risk Management 277 Appendix A Selected Distributions 289 Appendix B Guest Contributors 297 Index 327 N2 - In the newly revised How to Measure Anything in Cybersecurity Risk, Second Edition, a pioneering information security professional and a leader in quantitative analysis methods delivers yet another eye-opening text applying the quantitative language of risk analysis to cybersecurity. In the book, the authors demonstrate how to quantify uncertainty and shed light on how to measure seemingly intangible goals. It's a practical guide to improving risk assessment with a straightforward and simple framework UR - https://onlinelibrary.wiley.com/doi/book/10.1002/9781119892335 ER -