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AgentFirewall: The Autonomous Agent Access Control Playbook cover
AgentFirewall: The Autonomous Agent Access Control Playbook — Studio Edition cover

AgentFirewall: The Autonomous Agent Access Control Playbook

A permission-based framework for governing what your autonomous agents are allowed to do.

Who this is for: teams shipping AI agents to production — founders, platform engineers, and anyone whose agents touch money, data, or external systems.

  • Complete, zero-placeholder document
  • Ready to adopt as-is
  • Grounded in production agent-governance practice

$29 Prices in USD

One-time · Instant PDF download via Gumroad · All sales final — no refunds.

Updated October 2026

Get it now — $29

Secure checkout via Gumroad · Sold by ghostcorpnet · buyer protection · Single-user license · Instant delivery

Lifetime access — yours forever in your Gumroad library

License TL;DR · full terms

  • Use it in your own products and client work
  • Single-user license — one buyer, unlimited personal use
  • No reselling or redistribution as-is

Not ready? Get the free MIT playbook first.

PDF · 8 KB · 4 pages

$29 one-time, USD Instant download via Gumroad 3 sections inside

What it does

A permission-based framework for governing what autonomous AI agents are allowed to do: the autonomous threat landscape, defining the agent identity and permission boundary (with an Agent Identity Card template), tool-execution gates and least-privilege policy rules, and a starter policy checklist. For teams giving agents real tool access and needing the boundary written down before something goes wrong. From ghostcorpnet (Kestrelattice).

What's inside

  • Complete, zero-placeholder document
  • Ready to adopt as-is
  • Grounded in production agent-governance practice

How it works

How do I receive it?

Checkout is handled by Gumroad. The PDF is available for instant download the moment you pay — no account setup on our side, no waiting.

Is it really ready to use?

Yes. Every ghostcorpnet product is written with zero placeholders — adopt it as-is, no "insert your policy here" gaps.

Who is it for?

Teams shipping AI agents to production — founders, platform engineers, and anyone whose agents touch money, data, or external systems.

Pairs well with

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