Here is the honest situation. Here is the honest situation. Containing an AI workload is not the same as securing an ordinary service. A capable model or the agent wrapped around it can be prompted, poisoned, or jailbroken into pursuing an objective you did not intend, and if it has network reach, standing credentials, a writable filesystem and a set of tools, that unintended objective becomes an unintended action. Doing containment well means designing the boundaries so they hold even when the model itself turns against you: an isolated network segment with default-deny egress, a read-only unprivileged ephemeral runtime, an egress allow-list enforced at a chokepoint the workload cannot bypass, tools and credentials scoped to least privilege, monitoring taken from the infrastructure rather than the model's own reports, layered so no single control is load-bearing, and a human authorisation gate and rehearsed kill switch on anything irreversible. Where teams fall short is predictable: broad outbound left over from development, one shared powerful key across every tool, a gate the agent can call directly, and ephemeral compute torn down in an incident before anyone preserved the evidence.
This Kit removes the guesswork. It is AI containment architecture written as adopt-ready controls you personalize in a weekend, with the evidence a security or architecture review examines.
What you get, the moment you buy
Grounded in AI workload containment practice and defence in depth. Editable Word and Excel files.
What one control looks like
This is the opening control, where the architecture begins. All 18 are built to this depth.
Why this is not another template pack
- The evidence is the point. A control you cannot evidence is a gap waiting to be found. This tells you what a reviewer examines and where teams fall short, for every control.
- The containment specifics built in. The adversarial threat model, network isolation, read-only ephemeral runtimes, egress allow-listing, per-tool least-privilege credentials, infrastructure-layer monitoring, defence in depth, the human gate and kill switch, and forensic breach response are written into the controls, not left generic.
- Built on real practice, not one person's opinion, grounded in how AI containment actually holds up and where it actually fails.
- It compounds. This work shares its shape with zero-trust, container security and AI governance, so it feeds your wider programme.
Who buys this
Security architects and cloud security engineers standing up containment for AI workloads and agents, and the platform and ML owners of the models, tools and infrastructure around them. Whether this is your first AI deployment or a hardening pass on one already in production, you save weeks and walk in with your threat model, network, runtime, egress, tool, monitoring, human-control and breach-response controls structured.
Common questions
Is it really editable? Yes. Word and Excel files you own and adapt. No portal, no subscription.
Does it cover the whole containment stack? Yes. The threat model, network isolation, hardened ephemeral runtime, egress allow-listing, scoped tools, behavioural monitoring, defence in depth, the human gate and kill switch, and forensic breach response each have their own controls with their own evidence.
Is this about the model's safety or the infrastructure? The infrastructure. It builds the structural boundaries that hold even when the model is subverted, rather than relying on the model's own guardrails.
What if it is not for me? A 30-day money-back guarantee.
Instant digital download · 30-day money-back guarantee · The Art of Service Pty Ltd, GPO Box 2673, Brisbane QLD 4001 · support@theartofservice.com