Data-Driven Cybersecurity: Reducing risk with proven metrics (Final Release)

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 a 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