7.1 Introduction7.2 Why AI Security Feels Different7.3 The LLM-SHIELD Lens: A Security Journey, Not a Checklist7.4 Scope: Define Capability Guarantees, Non-Negotiables, and Attack Surface7.5 Harden: Treat Prompts, Policies, and Guardrails as Production Assets7.6 Isolate: Zero Trust for Retrieval, Memory, Tools, and Data Paths7.7 Empower: Grant Autonomy Deliberately7.8 Live-Defend: Runtime Defense, AI Firewalls, Observability, and Replay7.9 Demonstrate and Evolve: Prove the Controls Still Work7.10 Applying LLM-SHIELD to Real SystemsDreamMart: Order Creation and Modification by an AgentDreamEntertainment: Ensemble Retrieval and the Multiple Truths TrapSales Development Representative Agent: Global Automation vs. Regional Reality7.11 Practical Design Review Checklist7.12 Architect’s Reflection7.13 Further Reading and References7.14 Interview Practice and Assignments1. LLM-SHIELD Warm-Up Question2. Scope and Unacceptable Failures Question3. Prompt and Policy Hardening Question4. Retrieval and Tool Isolation Question5. Autonomy and Empowerment Question6. Runtime Defense Question7. Demonstrate and Prove Controls Question8. Senior Architect LLM-SHIELD Design Review Question7.15 GitHub Companion Artifacts