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Home > Computing and Information Technology > Computer programming / software engineering > Programming and scripting languages: general > Data-Driven Cybersecurity: Reducing Risk with Proven Metrics
Data-Driven Cybersecurity: Reducing Risk with Proven Metrics

Data-Driven Cybersecurity: Reducing Risk with Proven Metrics


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About the Book

Drowning in alerts but unsure which ones actually reduce risk? Security teams face an overwhelming flood of data every day, yet it is often unclear which signals matter and how to act on them. Without a structured way to prioritize threats and communicate their impact, even the best analysts struggle to protect their organization. What if you could turn noise into insight and confidently direct resources where they matter most? By aligning metrics with business goals and using real-time data effectively, you can cut through uncertainty and build measurable, trusted security operations. 

  • ATLAS methodology: Turns scattered alerts into a lifecycle that prioritizes real threats. 
  • Metric templates: Generate clear KPIs your executives understand, fund, and track. 
  • Real-time dashboards: See live threat detection and performance on one screen, not ten. 
  • AI and machine learning: Predict incidents before attackers move, using practical code samples. 
  • Case studies and exercises: Apply lessons immediately to biotech, pharma, and any regulated industry. 
  • Visualization techniques: Present results visually so decisions happen fast. 

Data-Driven Cybersecurity by veteran CISO Mariano Mattei delivers a complete, format-agnostic field guide to measurable security. 

Mattei introduces ATLAS, a step-by-step framework that aligns metrics with business goals and reduces alert fatigue. Hands-on chapters walk you through building dashboards, feeding models, and integrating AI tools, all backed by industry examples. Finish the book able to defend budgets, justify hires, and close gaps with quantifiable proof. Replace gut feelings with dashboards that speak for themselves. Perfect for security analysts, SOC leads, and managers who already know basics and crave actionable, numbers-first guidance.



Table of Contents:

PART 1 BUILDING THE FOUNDATION 

1 INTRODUCING CYBERSECURITY METRICS 

2 CYBERSECURITY ANALYTICS TOOLKIT 

3 IMPLEMENTING A SECURITY METRICS PROGRAM 

4 INTEGRATING METRICS INTO BUSINESS STRATEGY 

PART 2 THE METRICS THAT MATTER 

5 ESTABLISHING THE FOUNDATION 

6 FOUNDATIONS OF CYBER RISK 

7 PROTECTING YOUR ASSETS 

8 CONTINUOUS THREAT DETECTION 

9 INCIDENT MANAGEMENT AND RECOVERY 

PART 3 BEYOND THE BASICS: ADVANCED ANALYTICS, MACHINE LEARNING, AND AI 

10 ADVANCED CYBERSECURITY METRICS 

11 ADVANCED STATISTICAL ANALYSIS  

12 ADVANCED MACHINE LEARNING ANALYSIS 

13 GENERATIVE AI IN CYBERSECURITY METRICS 



About the Author :

Mariano Mattei is a VP of Cybersecurity and AI, known for turning data into proactive protection. With three decades in software engineering and C-suite security roles, Mariano brings clear, tool-driven guidance to every page. He distills deep expertise into repeatable frameworks that let readers prove value and cut risk.



Review :
  • 5 out of 5 stars. This is a book that has needed to be written for a long time the material inside the book should be the go to guide for every security manager or CISO out there. 

Mark Furman, White Lodging Services 

  • An excellent book to get your head around Cyber Security. Easy to follow and relatable to real world experiences. 

AJ Bhandal, Senior Full-Stack Developer


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Product Details
  • ISBN-13: 9781633436107
  • Publisher: Manning Publications
  • Publisher Imprint: Manning Publications
  • Height: 235 mm
  • No of Pages: 352
  • Spine Width: 20 mm
  • Weight: 700 gr
  • ISBN-10: 1633436101
  • Publisher Date: 28 Aug 2025
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Reducing Risk with Proven Metrics
  • Width: 188 mm


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