Book cover titled 'From Heatmaps to Histograms: A Practical Guide to Cyber Risk Quantification' by Tony Martin-Vegue, published by Apress. The top portion features a colorful heatmap graphic.

From Heatmaps to Histograms

A beginner-friendly, practical guide to modern cyber risk quantification. If you’ve felt confused by CRQ, tried FAIR before and got stuck, or want real-world clarity without heavy math, this is your on-ramp. Demystified, hands-on, AI-forward, and written for practitioners who want to future-proof their careers.

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Who the Book Is For

If you’re new to cyber risk quantification or have tried FAIR or CRQ before and struggled, this is the book I wish someone had handed me early on. It’s designed for absolute beginners, busy practitioners, and leaders who want clarity without heavy math. If you’ve experienced false starts, internal resistance, failed implementations, or confusion about how to collect data, this book gives you a calm on-ramp.

Whether you run risk programs, work in security leadership, sit in GRC, or simply want to future-proof your career, From Heatmaps to Histograms gives you the tools, language, and confidence to work with uncertainty in a way that actually improves decision-making.

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Book cover titled 'From Heatmaps to Histograms: A Practical Guide to Cyber Risk Quantification' by Tony Martin-Vegue, featuring a heatmap graphic in a circle at the top.

What Makes This Book Different

  • Step-by-step on-ramp for beginners with no quant background

  • Easy-to-understand explanations instead of theory or abstraction

  • Practical internal data, external data, and SME techniques

  • Examples you can run yourself (no coding required)

  • AI-forward prompts, analysis workflows, and shortcuts

  • Shows how to blend FAIR with decision science

  • Helps you reduce career anxiety, not increase it

  • Built from real advisory work in Fortune 500 and fast-growth companies

  • Written by someone who has run CRQ programs, not just studied them

Why Cyber Risk Quantification Matters

Organizations are operating in a world where decisions need to be clearer, faster, and more defensible. Boards want confidence, not generalities. Security leaders need a shared language for uncertainty, not scoring models that leave everyone guessing. As AI accelerates change, the ability to think clearly about risk becomes a meaningful career advantage.

Cyber risk quantification helps teams move from instinct to clarity. It gives decision-makers a practical way to understand exposure, communicate options, and invest wisely. People who learn how to reason about uncertainty today will be prepared for the challenges ahead and ready to lead in the next decade.

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