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Security professionals are trained skeptics. They poke and prod at other people’s digital creations, expecting them to fail in unexpected ways. Shouldn’t that same skeptical power be turned inward? Shouldn’t practitioners ask: “How do I know that my enterprise security capabilities work? Are they scaling, accelerating, or slowing as the business exposes more value to more people and through more channels at higher velocities?” This is the start of the modern measurement mindset—the mindset that seeks to confront security with data.
The Metrics Manifesto: Confronting Security with Data delivers an examination of security metrics with R, the popular open-source programming language and software development environment for statistical computing. This insightful and up-to-date guide offers readers a practical focus on applied measurement that can prove or disprove the efficacy of information security measures taken by a firm.
The book’s detailed chapters combine topics like security, predictive analytics, and R programming to present an authoritative and innovative approach to security metrics. The author and security professional examines historical and modern methods of measurement with a particular emphasis on Bayesian Data Analysis to shed light on measuring security operations.
Readers will learn how processing data with R can help measure security improvements and changes as well as help technology security teams identify and fix gaps in security. The book also includes downloadable code for people who are new to the R programming language.
Perfect for security engineers, risk engineers, IT security managers, CISOs, and data scientists comfortable with a bit of code, The Metrics Manifesto offers readers an invaluable collection of information to help professionals prove the efficacy of security measures within their company.
RICHARD SEIERSEN is Chief Risk Officer at Resilience Insurance. He is a technology executive with 20 years of experience in information security and risk management. Seiersen has held CISO roles at Twilio, LendingClub, and GE Healthcare and was Co-Founder of Soluble, which was sold to Lacework in 2021. He’s also an active security startup advisor and consulting faculty member with IANS on cybersecurity risk management.
Foreword
Preface
Chapter 1: Introduction
Chapter 2: BOOM! Time to Event Metrics
Chapter 3: Counting on Uncertainty: Preparing for Burndown, Arrival, Wait Times, and Escape Rates
Chapter 4: Burndown Rates: Shifting Right the Bayesian Way
Chapter 5: Risk Arrival Rates: Shift Left Security Metrics
Chapter 6: Wait-Time Rates: Between Arrival and Departure Is… Waiting
Chapter 7: Escape Rates
Chapter 8: Optimization Basics with Bayesian Linear Regression
Chapter 9: ABC A/B Testing and Security ROI
Chapter 10: Dashboarding with BOOM!
Chapter 11: Simulating Data Like a Pro
Index
The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.
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