About the book

An enterprise framework for leading AI security: strategy and decision rights, portfolio and risk governance, secure architecture for RAG, agents and MCP, delivery and assurance, operations and incident response, third parties, and building the AI security organisation. It closes with a large set of templates, checklists and reporting tools for putting the framework to work.

Written for: Security leaders, CISOs, architects and governance teams responsible for AI across an organisation.

This book is not published yet. This page shows its syllabus; the full text will follow.

Syllabus

Part I. Leadership, Strategy, and Enterprise Context

  1. Why AI Security Is a Leadership Discipline
  2. Building an Enterprise AI Security Strategy
  3. Leadership, Accountability, and Decision Rights

Part II. Governance and Portfolio Control

  1. AI Portfolio, Inventory, and Classification
  2. The AI Governance Operating Model
  3. Enterprise AI Risk Management

Part III. Threats, Architecture, and Engineering

  1. Threat Modeling AI Systems
  2. Secure AI Reference Architecture
  3. Data, Model, and Supply-Chain Security
  4. Secure Retrieval-Augmented Generation
  5. Agentic AI and Multi-Agent Security
  6. MCP and Tool Ecosystem Security

Part IV. Secure Delivery and Assurance

  1. The Secure AI Development Lifecycle
  2. Evaluation, Assurance, and Red Teaming
  3. Production Authorization and Guardrails

Part V. Operations, Detection, Incident Response, and Resilience

  1. AI Observability and AI-SecOps
  2. AI Incident Response and Operational Resilience

Part VI. The Enterprise Ecosystem

  1. Third-Party AI, Procurement, and Contracting
  2. Responsible AI, Privacy, Ethics, and Human Oversight

Part VII. Building the AI Security Organization

  1. Workforce, Roles, and Operating Culture
  2. Communication, Training, and Stakeholder Mobilization
  3. Metrics, Maturity, Roadmap, and the Next Three Years

Appendices

Twenty-four appendices of working tools: use-case intake and risk-tiering forms, architecture review and production readiness checklists, a RACI, threat-model and evaluation templates, red-team rules of engagement, incident triage questions and playbooks, a vendor questionnaire, registry fields for models, agents and MCP servers, an executive dashboard and KPI/KRI catalogue, reporting templates, implementation and maturity roadmaps, policy statements, a glossary, a framework crosswalk and an evidence package index.