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AI Containment and Red-Team Exercise Design Evidence & Implementation Kit

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AI Containment and Red-Team Exercise Design for Security Leaders · bound what a production model can reach and do, prove it holds, and respond when it does not · Evidence & Implementation Kit
Take the containment seat for a production model: build the threat model around what the system can DO rather than what it can say, isolate its reach and default its egress to deny, grant the least capability with no ambient authority, gate irreversible actions outside the model, instrument the behavior and keep a kill switch that works, then prove the whole design holds with a red-team exercise a board and an auditor will both accept.
Every control handed to you adopt-ready, from the containment threat framing through network isolation and egress, capability restriction and sandboxing, and action authorization and human control, to the monitoring, tripwires and kill switch and the red-team exercise and incident response a security review or an auditor can follow.
Ready in a weekend, not a quarter.

Here is the honest situation. Here is the honest situation. Most security teams still treat a large model as a text box that returns words. The moment that model can call a tool, hold a token, browse or trigger a workflow, it becomes an actor inside your trust boundary, and a jailbreak or a prompt injection stops being a content problem and becomes lateral movement at machine speed that nobody notices until the action has already run. An autonomous system is different from a classic application in four ways that all widen the blast radius: it has capability, it has autonomy, it has reach, and it is steerable by any untrusted text it ingests. Doing this well does not mean buying more tooling. It means rebuilding the discipline: model the system by its reachable actions and their reversibility, place it in a deny-by-default segment behind a logging broker, grant the narrowest tool and a scoped short-lived credential, run generated code with no ambient authority, put an authorization gate outside the model on the real parameters of any irreversible action, rate-limit approved actions, log at the level of tool calls, place tripwires, keep a fast tested kill switch, and prove it all with a scoped red-team exercise whose every finding maps to the exact layer that failed. Where teams fall short is predictable: the model treated as a text box, egress left open, capability too broad, the model made its own gatekeeper, monitoring blind to actions, no kill switch that beats the action, and red-team results read as scary transcripts instead of a prioritized list of control gaps.

This Kit removes the guesswork. It is AI containment and red-team exercise design written as adopt-ready controls you personalize in a weekend, with the evidence a security review, a board or an auditor examines.

What you get, the moment you buy

18
Controls, adopt-ready. Every control, written so you personalize and apply it.
18
Evidence-they-examine checklists. For each control, exactly what a reviewer examines, plus where teams fall short, so you close the gap first.
1
Control Matrix, pre-built. Every control in a working spreadsheet, ready to record status, owner and evidence location.
1
Gap & Readiness Assessment. Score each control and the workbook returns your readiness as a single percentage, and exactly what to fix next.

Grounded in layered containment and adversarial-testing practice applied to autonomous AI systems, including network isolation and deny-by-default egress, capability-based sandboxing, action-level authorization and human control, action telemetry with tripwires and a tested kill switch, and red-team exercise design with incident response for autonomous behavior. Editable Word and Excel files. This is a practitioner method, not a substitute for your own security policy, model risk governance and regulatory obligations.

Contain what it can do, before you have to explain what it did
A model that can call tools and hold credentials is an actor inside your trust boundary, and the fix is rebuilding the containment discipline, not more tooling. This Kit builds the threat framing, network isolation, capability restriction, action authorization, monitoring and kill switch, and red-team and incident-response controls that let the business ship autonomous systems without shipping them uncontained, with the evidence a reviewer asks for.

What one control looks like

This is the opening control, where the assessment begins. All 18 are built to this depth.

AIC-1 Model the system by what it can DO, not what it can say CONTAINMENT THREAT FRAMING
Put this control in place

Require [your organization name] to build the containment threat model for each production model around what the system can do rather than what it can output, enumerating every tool, credential and network path the model touches and recording for each the worst action it permits under full adversarial control of the model and whether that action is reversible, so containment strength is driven by the impact and reversibility of reachable actions rather than by model quality metrics or the assumption that a large model only returns words.

Control note.

The distinguishing question is not how good the model is but what the worst reachable action does, so the enumeration centers on capability and reversibility rather than on model accuracy.

Evidence a reviewer examines
  • The action, tool, credential and network-path enumeration for each production model
  • The worst-case reachable action and its reversibility recorded per path
  • Evidence that prioritization is driven by action impact, not by benchmark or vendor safety scores
  • A refresh of the enumeration when the model's tools, credentials or reach change
Common finding they raise: Teams treat the model as a text box and never enumerate its reachable actions, so a tool that moves money or deletes data is contained no more strongly than a read-only lookup.

Why this is not another template pack

  • The evidence is the point. A production model you cannot evidence as isolated, capability-bounded, authorization-gated, monitored and stoppable is an incident and a finding waiting to land. This tells you what a reviewer or an auditor examines and where teams fall short, for every control.
  • The containment specifics built in. Deny-by-default egress with a logging broker, capability-based sandboxing with no ambient authority, an authorization gate outside the model on real parameters, action-level telemetry with honeytokens, and a fast tested kill switch are written into the controls, not left generic.
  • Built on real practice, not one person's opinion, grounded in how security teams actually contain autonomous systems and design red-team exercises that a board and an auditor will accept.
  • It compounds. This work shares its shape with application security, identity and access management and enterprise incident response, so it feeds your wider security practice.

Who buys this

CISOs, security architects and AI safety officers responsible for deploying or auditing a frontier or autonomous AI system in production, who own the containment architecture, the red-team commissioning and the incident response and have to prove the system is bounded, monitored and defensible. Whether this is your first pass at containing an autonomous system or a hardening pass on a live one, you save weeks and walk in with your threat framing, isolation, capability, authorization, monitoring and red-team controls structured.

By the end of the weekend you will have
✓  An adopt-ready control for all 18 areas
✓  A completed control matrix
✓  The evidence a reviewer examines
✓  A containment architecture drawn for a real system
✓  A red-team exercise design and incident playbook
✓  A readiness percentage and a fix list

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 problem? Yes. Containment threat framing, network isolation and egress, capability restriction and sandboxing, action authorization and human control, monitoring, tripwires and kill switch, and red-team exercise and incident response each have their own controls with their own evidence.

Is this tied to one model or vendor? No. The controls are principle-level, action-based threat modeling, deny-by-default egress and brokering, capability-based sandboxing, external authorization, action monitoring and kill switch, and red-team and incident response, so they apply to any autonomous system with tools, credentials and reach, alongside your team rather than replacing it.

What if it is not for me? A 30-day money-back guarantee.

Do not let your next incident be a prompt injection that reached a tool, an irreversible action nobody approved, or a red-team report you cannot turn into fixes.
Every control is fast to adopt with the Kit. It is instant, and it is guaranteed.
Add it to your cart and be ready this weekend.

Instant digital download · 30-day money-back guarantee · The Art of Service Pty Ltd, GPO Box 2673, Brisbane QLD 4001 · support@theartofservice.com