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Data-Driven Cybersecurity: Reducing Risk with Proven Metrics [Pehme köide]

  • Formaat: Paperback / softback, 334 pages, kaal: 386 g
  • Ilmumisaeg: 30-Sep-2025
  • Kirjastus: Manning Publications
  • ISBN-10: 1633436101
  • ISBN-13: 9781633436107
Teised raamatud teemal:
  • Pehme köide
  • Hind: 68,19 €
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  • Formaat: Paperback / softback, 334 pages, kaal: 386 g
  • Ilmumisaeg: 30-Sep-2025
  • Kirjastus: Manning Publications
  • ISBN-10: 1633436101
  • ISBN-13: 9781633436107
Teised raamatud teemal:
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:

• 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 book

Data-Driven Cybersecurity shows you the metrics, data, and KPIs that will help you assess and enhance the performance of your cyber security programs. You’ll learn how to turn complex metrics into actionable security practices, following the unique ATLAS (Alert Threshold Lifecycle Assessment System) methodology created by author Mariano Mattei. You’ll go hands-on to build a real-time threat detection dashboard, and discover how AI and machine learning can proactively predict cybersecurity incidents. Case studies, interactive exercises, templates for KPIs, and expert insights help illustrate each new concept.

About the reader

For readers familiar with the basics of cyber security and data analysis.

About the author

Mariano Mattei is VP of Cybersecurity and AI at Azzur Solutions with over 30 years of software engineering experience. As a Certified Chief Information Security Officer (CCISO), he specializes in AI integration for advanced threat detection and predictive security measures within the biotechnology, pharmaceuticals, and medical device sectors.

Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.