Modern Vulnerability Management: Predictive Cybersecurity by Michael Roytman

Modern Vulnerability Management: Predictive Cybersecurity by Michael Roytman

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Modern Vulnerability Management: Predictive Cybersecurity by Michael Roytman

This book comprehensively covers the principles of Risk-based vulnerability management (RBVM) – one of the most challenging tasks in cybersecurity -- from the foundational mathematical models to building your own decision engine to identify, mitigate, and eventually forecast the vulnerabilities that pose the greatest threat to your organization. You will learn: how to structure data pipelines in security and derive and measure value from them; where to procure open-source data to better your organization’s pipeline and how to structure it; how to build a predictive model using vulnerability data; how to measure the return on investment a model in security can yield; which organizational structures and policies work best, and how to use data science to detect when they are not working in security; and ways to manage organizational change around data science implementation.   You’ll also be shown real-world examples of how to mature an RBVM program and will understand how to prioritize remediation efforts based on which vulnerabilities pose the greatest risk to your organization. The book presents a fresh approach, rooted in risk management, and taking advantage of rich data and machine learning, helping you focus more on what matters and ultimately make your organization more secure with a system commensurate to the scale of the threat.   This is a timely and much-needed book for security managers and practitioners who need to evaluate their organizations and plan future projects and change. Students of cybersecurity will also find this a valuable introduction on how to use their skills in the enterprise workplace to drive change.
SKU Unavailable
ISBN 13 9781630819385
ISBN 10 1630819387
Title Modern Vulnerability Management: Predictive Cybersecurity
Author Michael Roytman
Condition Unavailable
Binding Type Hardback
Publisher Artech House Publishers
Year published 2023-03-31
Number of pages 265
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note Unavailable