Runtime Containment Architecture for Autonomous Systems · isolate execution, govern resources and capabilities, close egress and scope identity, broker secrets, monitor the boundaries, build a tested kill switch, assess your escape surface, and map to the NIST AI RMF and ISO/IEC 42001
Bound what an autonomous system can do at run time, and prove the boundaries hold under attack.
Every control handed to you adopt-ready, from a containment threat model and isolation matched to blast radius, through resource and capability limits that fail closed, default deny egress with task scoped identity and brokered secrets, boundary monitoring, a tested kill switch, an honest escape surface assessment, and a rehearsed containment failure playbook mapped to the NIST AI RMF and ISO/IEC 42001.
Ready in a weekend, not a quarter.
Here is the honest situation. Here is the honest situation. Autonomous systems are moving from demos into production faster than teams are learning to contain them. Securing a model endpoint or a stateless service is well understood, but an autonomous agent is different: it plans, it reads untrusted content, it calls tools, and it acts on its own non deterministic output, so a single poisoned instruction, a hallucinated tool call, or one over broad permission can turn a helpful capability into an unauthorised action in a single step. A working demo proves the system can do the task, not that an attacker cannot make it do something else. Reusing a model risk template or a service security checklist does not close that gap, it hides it, because neither was written for autonomous action bounded at run time.
This Kit removes the guesswork. It is runtime containment architecture written as adopt-ready controls, so isolation strength is matched to blast radius and untrusted or generated code runs behind a kernel boundary, resources and capabilities are governed and fail closed, egress is default deny and identity is scoped to the task while secrets stay out of the model's reach, every boundary is monitored and wired to alerting, a tested kill switch can end a task from outside the sandbox, your real escape surface is assessed on adversarial evidence, and a containment failure playbook keeps governance and engineering describing the same system.
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 real runtime security practice, including namespace and control group isolation, microVM and user space kernel sandboxing, ephemeral per task environments, seccomp system call allow lists, dropped Linux capabilities and no new privileges, read only roots and mandatory access control, default deny egress with destination and name resolution allow lists, task scoped short lived identity and brokered secrets, kernel level boundary monitoring, an automated circuit breaker and external kill switch, sandbox escape surface assessment, a containment failure incident playbook, and control mapping to the NIST AI Risk Management Framework and ISO/IEC 42001 on an ISO/IEC 27001 baseline.
Contain the agent, do not trust it to behave
An autonomous agent pushed into production on task accuracy alone carries an unmanaged action-and-escape tail, and the fix is a containment architecture where no single failure, a poisoned instruction, a hallucinated tool call, a compromised dependency, lets the agent reach data or systems outside its task. This Kit builds the inventory and risk assessment, the isolation and least privilege identity, the tool allow list and approval gates, the injection defence and egress control, the audit grade logging, the adversarial testing, and the escape playbook and framework mapping that keep the whole thing provable.
What one control looks like
This is the opening control, where the containment architecture begins. All 18 are built to this depth.
RCA-1 Inventory every autonomous agent and record its blast radius THREAT MODEL AND CONTAINMENT DESIGN
Put this control in place
Require [your organization name] to maintain a current register of every autonomous agent in production that lists, for each agent, its purpose, the tools and APIs it may call, the data and systems it can reach, the identity it runs under, and a written blast radius describing the worst action the agent could take if subverted, reviewed whenever the agent's capabilities change.
Control note.
Derive the blast radius from what the agent's identity and tools permit, not from what the happy-path workflow intends, because the attacker uses the former.
Evidence a reviewer examines
- The agent register with one row per production agent showing tools, reachable systems, and run-as identity
- A written blast-radius statement per agent naming the worst credible unauthorised action
- Change history showing the register updated when an agent gained or lost a tool or permission
- Evidence that a named owner signs off the register on a defined cadence
Common finding they raise: Teams inventory the models and prompts but never write down the concrete tools and systems each agent can actually reach, so the real blast radius is unknown.
Why this is not another template pack
- The architecture is real. A demo that works proves nothing about what an attacker can make the agent do. This tells you how to isolate, scope, allow list, gate, defend, log, test, respond and map, for every control.
- The specifics built in. Sandbox and microVM isolation, ephemeral per task environments, short lived task scoped identities, default deny allow lists, human approval on irreversible actions, direct and indirect injection defence, default deny egress, secrets brokering, and NIST AI RMF and ISO/IEC 42001 mapping are written into the controls, not left generic.
- Built on real security practice, not one vendor or stack. The controls are principle-level, so they hold across agent frameworks and cloud platforms and stay useful as agents and attacks change.
Who buys this
Security architects, platform and infrastructure engineers, and AI risk and compliance owners putting an autonomous system into high risk or regulated production.
By the end of the weekend you will have
✓ Write the containment threat model: what an out of scope action looks like for this system and which boundary stops it.
✓ Match isolation strength to blast radius and move untrusted or generated code behind a kernel boundary.
✓ Set resource, capability, and system call limits that fail closed, and add token and tool call budgets.
✓ Close egress to a destination allow list, scope identity to the task, and broker secrets out of the model's reach.
✓ Wire boundary deny events to alerting and stand up a tested kill switch with graceful and hard modes.
✓ Assess your escape surface honestly and rehearse the containment failure playbook as a tabletop.
Common questions
q a
q a
q a
q a
Runtime Containment Architecture for Autonomous Systems Evidence & Implementation Kit.
18 adopt-ready controls, a control matrix, and a gap and readiness assessment you own outright.
The Art of Service Academy · support@theartofservice.com
Instant digital download · 30-day money-back guarantee · The Art of Service Pty Ltd, GPO Box 2673, Brisbane QLD 4001 · support@theartofservice.com
