OT Asset Discovery & Vulnerability Management

Finding Every PLC, HMI, RTU, Server, Firmware Risk, CVE and Hidden Industrial Exposure

von Kai London

802 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

You cannot defend what you cannot see - and most plants cannot list every controller they own.Operational-technology asset visibility fails in practice, and every downstream control fails with it. Attackers find the cheapest exposed PLC and the one unpatched firewall line; a single file-transfer bug reached thousands of organisations. You cannot patch, segment or defend an asset you do not know exists. This manual builds the authoritative inventory - and the vulnerability programme on top of it.This manual shows you how to: - Run passive and safe active discovery across OT- Identify controllers, workstations and firmware versions- Map remote paths, cloud and IIoT exposure- Prioritise by exploitability versus consequence, not raw CVSS- Build SBOM, compensating controls, exposure management and executive reportingWho it's for: OT asset owners, vulnerability-management teams, and industrial security programme leads.Every chapter opens on a real, dated, documented incident and closes with a one-line Boardroom Intelligence takeaway a director can act on. A full Source-Notes appendix lets every claim be checked."Find every asset before someone else does."About the authorProfessor Kai London (CISSP, CISM) is an internationally recognised cybersecurity executive, board advisor and author with 25+ years defending banking, aviation, defence, government and critical national infrastructure.This single, exhaustively engineered reference is built to replace an entire shelf of vendor manuals and generic asset-management primers - every chapter, checklist, and discovery-and-inventory template is designed for immediate use by working OT/ICS teams hunting down every PLC, HMI, RTU, and hidden firmware risk, making it the highest-value, most complete investment a plant, utility, or security program can make in industrial asset visibility.

• ISBN: 9798171270520
• Sprache: Englisch
• Erscheinungsdatum: 06.09.2026
• Größe: 235 x 191 mm
• Verlag: Amazon Digital Services LLC - Kdp