Data-Driven Cybersecurity
Manning Publications (Verlag)
978-1-63343-610-7 (ISBN)
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.
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.
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
| Erscheinungsdatum | 20.08.2025 |
|---|---|
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 188 x 235 mm |
| Gewicht | 645 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Netzwerke ► Sicherheit / Firewall | |
| Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 1-63343-610-1 / 1633436101 |
| ISBN-13 | 978-1-63343-610-7 / 9781633436107 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich