July 2025
Beginner to intermediate
352 pages
11h 11m
English
Overview
Measure, improve, and communicate the value of your security program.
Every business decision should be driven by data—and cyber security is no exception. In Data-Driven Cybersecurity, you'll master the art and science of quantifiable cybersecurity, learning to harness data for enhanced threat detection, response, and mitigation. You’ll turn raw data into meaningful intelligence, better evaluate the performance of your security teams, and proactively address the vulnerabilities revealed by the numbers.
Data-Driven Cybersecurity will teach you how to:
Data-Driven Cybersecurity teaches you to implement effective, data-driven cybersecurity practices—including utilizing AI and machine learning for detection and prediction. Throughout, the book presents security as a core part of organizational strategy, helping you align cyber security with broader business objectives. If you’re a CISO or security manager, you’ll find the methods for communicating metrics to non-technical stakeholders invaluable.
About the Technology
A data-focused approach to cybersecurity uses metrics, analytics, and automation to detect threats earlier, respond faster, and align security with business goals.
About the Book
Data-Driven Cybersecurity shows you how to turn complex security metrics into evidence-based security practices. You’ll learn to define meaningful KPIs, communicate risk to stakeholders, and turn complex data into clear action. You’ll begin by answering the important questions: what makes a “good” security metric? How can I align security with broader business objectives? What makes a robust data-driven security management program? Python scripts and Jupyter notebooks make collecting security data easy and help build real-time threat detection dashboards. You’ll even see how AI and machine learning can proactively predict cybersecurity incidents!
What's Inside
About the Reader
For readers familiar with the basics of cybersecurity and data analysis.
About the Author
Mariano Mattei is a professor at Temple University and an information security professional with over 30 years of experience in cybersecurity and AI innovation.
Quotes
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
Every business decision should be driven by data—and cyber security is no exception. In Data-Driven Cybersecurity, you'll master the art and science of quantifiable cybersecurity, learning to harness data for enhanced threat detection, response, and mitigation. You’ll turn raw data into meaningful intelligence, better evaluate the performance of your security teams, and proactively address the vulnerabilities revealed by the numbers.
Data-Driven Cybersecurity will teach you how to:
- Align a metrics program with organizational goals
- Design real-time threat detection dashboards
- Predictive cybersecurity using AI and machine learning
- Data-driven incident response
- Apply the ATLAS methodology to reduce alert fatigue
- Create compelling metric visualizations
Data-Driven Cybersecurity teaches you to implement effective, data-driven cybersecurity practices—including utilizing AI and machine learning for detection and prediction. Throughout, the book presents security as a core part of organizational strategy, helping you align cyber security with broader business objectives. If you’re a CISO or security manager, you’ll find the methods for communicating metrics to non-technical stakeholders invaluable.
About the Technology
A data-focused approach to cybersecurity uses metrics, analytics, and automation to detect threats earlier, respond faster, and align security with business goals.
About the Book
Data-Driven Cybersecurity shows you how to turn complex security metrics into evidence-based security practices. You’ll learn to define meaningful KPIs, communicate risk to stakeholders, and turn complex data into clear action. You’ll begin by answering the important questions: what makes a “good” security metric? How can I align security with broader business objectives? What makes a robust data-driven security management program? Python scripts and Jupyter notebooks make collecting security data easy and help build real-time threat detection dashboards. You’ll even see how AI and machine learning can proactively predict cybersecurity incidents!
What's Inside
- Improve your alert system using the ATLAS framework
- Elevate your organization’s security posture
- Statistical and ML techniques for threat detection
- Executive buy-in and strategic investment
About the Reader
For readers familiar with the basics of cybersecurity and data analysis.
About the Author
Mariano Mattei is a professor at Temple University and an information security professional with over 30 years of experience in cybersecurity and AI innovation.
Quotes
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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