Data-Driven Cybersecurity : Reducing Risk with Proven Metrics.

Format:

Book

Author/Creator:

Mattei, Mariano.

Language:

English

Subjects (All):

Computer security.

Physical Description:

1 online resource (302 pages)

Edition:

1st ed.

Place of Publication:

New York : Manning Publications Co. LLC, 2025.

Summary:

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 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 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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-63835-765-X

OCLC:

1529631123