{ "item_title" : "Data-Driven Cybersecurity", "item_author" : [" Mariano Mattei", "Joseph Steinberg "], "item_description" : "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. Foreword by Joseph Steinberg. 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. Table of Contents Part 1 Building the foundation1 Introducing cybersecurity metrics2 Cybersecurity analytics toolkit3 Implementing a security metrics program4 Integrating metrics into business strategyPart 2 The metrics that matter5 Establishing the foundation6 Foundations of cyber risk7 Protecting your assets8 Continuous threat detection9 Incident management and recoveryPart 3 Beyond the basics: Advanced analytics, machine learning and AI10 Advanced cybersecurity metrics11 Advanced statistical analysis12 Advanced machine learning analysis13 Generative AI in cybersecurity metrics 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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/63/343/610/1633436101_b.jpg", "price_data" : { "retail_price" : "59.99", "online_price" : "59.99", "our_price" : "59.99", "club_price" : "59.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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