AI Security Templates & Checklists — 38 Copy-Paste Templates & Checklists for Securing Production AI Agents and MCP Systems

Your agent can act. These templates make sure it acts safely.

The AI Security Templates & Checklists give you 38 copy-paste templates and checklists covering the full security lifecycle of production AI agents and MCP systems — from threat modeling a single deployment to the governance committee, the vendor assessment, and the sign-off gate an agent must pass before it touches production data. Every template is distilled from two books: Enterprise AI Agents: From Pilot to Production and MCP Architecture: Building Tool-Using AI Systems. Adopt the whole program, or lift a single template into the system you already run.

What's inside (8 sections):

1. Threat Model & Attack Surface (5) — AI agent threat model worksheet, MCP attack surface inventory, confused deputy risk assessment, tool risk classification matrix, read/write safety tier register

2. Identity, Authentication & Authorization (5) — OAuth 2.1 deployment checklist for MCP servers, API key & bearer token handling standard, least-privilege tool authorization design sheet, upstream authentication principles, enterprise authorization architecture blueprint

3. Prompt Injection & Tool-Poisoning Defense (5) — prompt injection via tool outputs defense playbook, tool poisoning & rug-pull change control, data exfiltration path audit, adversarial tool-output test plan, agent red-team exercise plan

4. Data Protection, Secrets & Privacy (4) — data privacy control checklist for agent systems, secrets management standard, rate-limit & quota policy, knowledge & memory governance security review

5. Guardrails & Human Oversight (5) — guardrail policy design template (input, behavioral, output), human-in-the-loop UX pattern set, sandboxing & execution isolation decision sheet, error & escalation handling checklist, accountability-by-design worksheet

6. Audit, Observability & Incident Response (5) — audit trail & explainability standard, agent observability & audit setup checklist, MCP fleet monitoring & incident runbook, AI agent incident response plan, audit logging implementation checklist

7. Governance, Compliance & Risk (5) — AI governance committee charter, regulatory landscape compliance map (EU AI Act, US sector rules), third-party & vendor AI risk assessment, AI insurance & risk transfer review, governance operating model checklist

8. Security Testing & Production Readiness (4) — the full MCP security gate checklist (12 controls with evidence and sign-off), production readiness security & compliance sign-off, multi-agent governance checklist, dangerous-call approval matrix

Who it's for: engineers, architects, and governance owners securing tool-using AI systems inside real organizations — the same audience as the companion books. If you own the MCP Architecture Templates pack, this is its enterprise-wide companion: seven of its security foundations return here at enterprise scope — four of them extended well beyond the originals: the sandbox decision, the audit standard, the full security gate, and the approval matrix.

Format: beautifully formatted PDF + Markdown source. Lifetime updates included.

About the author: Naveen Kumar Josyula — author of Enterprise AI Agents: From Pilot to Production, MCP Architecture: Building Tool-Using AI Systems, and RAG Architecture: Designing Production-Grade Retrieval Systems (Amazon KDP). These templates are distilled from the books' security and governance chapters.

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