Securing the Autonomous Supply Chain: Defending the new attack surface of agentic operations across the physical–digital convergence - Tapa blanda

Sinopsis

The autonomous supply chain is the attack surface of the next decade. This is the book that defends it. Download the ASCR Blueprint artifacts directly from the book. Deploy them. Customize them. Use them in client engagements. The blueprint is the book.

Key Features

• Explores emerging security risks in autonomous supply chains where AI agents control real-world operations
• Provides practical frameworks such as SADLC, ASOC, and ASCR for securing agentic AI systems
• Combines threat analysis and real-world field reports for modern cyber-physical security

Book Description

The rapid rise of autonomous AI systems is transforming modern supply chains, where intelligent agents increasingly make decisions that trigger real-world actions across warehouses, ports, and logistics networks. A nation-state actor no longer needs to hack a PLC; compromising the AI agent that tells it what to do may be enough. This book equips security leaders, architects, and engineers with frameworks and strategies to defend emerging agentic ecosystems.

The book begins by examining the shift from AI copilots to autonomous execution systems and the risks that arise when digital reasoning directly controls physical processes. It introduces the Cyber-Physical Systems Threat Chain, a model that maps how adversarial intent can enter an agentic system at the intelligence layer and propagate through authorized channels to physical consequences. You will then follow practical approaches to securing models, and autonomous execution environments, along with architectural and operational controls to defend cyber-physical AI systems.

By the end of the book, you will be able to defend the full execution chain from AI reasoning to physical actuation. You will gain the ASCR Blueprint—deployment-ready artifacts designed to operationalize security across risk intelligence, technical enforcement, operational response, and governance.

What you will learn

• Understand the CPS Threat Chain from AI reasoning to physical impact
• Learn where to intercept attacks in agentic systems
• Apply 15 ASCR artifacts for risk, enforcement, and governance
• Secure MCP gateways, digital twins, and decision logs
• Analyze nation-state, ransomware, insider, and model attacks
• Align security with EU AI Act, NIS2, IEC 62443, and NIST AI RMF
• Build resilient security for AI-driven supply chain systems
• Secure AI-driven supply chains from cyber-physical threats

Who this book is for

This book is for security architects and CISOs who need a comprehensive governance and technical framework from initial risk scoring through phased enforcement deployment to board-level assurance reporting. It is also for OT and AI security engineers seeking practical specifications for MCP gateway enforcement, digital twin step-ahead verification, and tamper-evident decision logging to secure agentic-physical systems. Consulting practitioners will also find a structured engagement methodology, customizable client artifacts designed to support real-world security implementations.

Table of Contents

1. The Agentic Revolution — From Copilots to Autonomous Execution
2. The Physical AI Security Landscape
3. The Agentic Threat Matrix for Supply Chains
4. The Hardware Attack Surface: Edge and Device Security
5. Securing Models, Data, and Decision Lineage
6. The Secure Agentic Development Lifecycle (SADLC)
7. The Agentic Security Operations Center (ASOC)
8. Identity Continuity and Access Control
9. Governance, Accountability, and Regulatory Obligations for High-Risk Agentic Systems
10. The ASCR Framework — Architecture, Validation, and Operationalization

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