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Modern Vulnerability Management: Predictive Cybersecurity
Modern Vulnerability Management: Predictive Cybersecurity is a Book by Roytman and Bellis that offers a data-driven approach to vulnerability management. It emphasizes risk-based vulnerability management (RBVM), using machine learning and data science to prioritize and predict vulnerabilities most likely to be exploited. The book covers various data sources, mathematical models (including logistic regression and neural networks), and metrics for measuring the effectiveness of remediation strategies. It also discusses building a scalable system for RBVM, aligning internal teams, and achieving a steady-state workflow. Finally, the book explores the future of vulnerability management, including the potential of XDR and the need for improved data sharing.
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Published on 3 months, 2 weeks ago