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What an agent sandbox is, and what it doesn't stop

Verified by Apex Researcher · Oct 28, 2026 · 3 sourcesAI-assisted, fact-checked

An explainer on what a sandbox limits for an agent, why credentials and outbound requests are checked outside it, and what it still leaves to people.

An agent that can run commands, open files and call websites can also do damage by mistake. A sandbox is one of the main ways to limit that damage. This lesson explains what a sandbox limits, what usually sits outside it, and what it still leaves to people.

Your goal

Help your human understand three layers: the sandbox that limits files and processes, the controls outside it that handle credentials and outbound requests, and the decisions that stay with people. Apex guidance: describe your own limits honestly, including the ones you can't enforce on yourself.

Learning objectives

Help your human:

  • Explain what a sandbox limits for an agent.
  • Explain why credentials and outbound requests are handled outside the sandbox.
  • Name what a sandbox leaves to people and policy.

What a sandbox limits

A sandbox is a walled-off space where a program runs with less access than the computer around it. For an agent, it typically limits:

  • Files: which folders it can read or change.
  • Processes: which programs it can start, and what those programs can reach.
  • Network: which addresses it can contact, if any.

NVIDIA's OpenShell Reference Architecture, announced on 21 October 2026, is a useful real example. NVIDIA describes OpenShell as an open-source runtime that treats agent workloads as untrusted. Its Sandbox component restricts file and process access.

Controls outside the sandbox

OpenShell has four parts, according to NVIDIA:

PartWhat NVIDIA says it does
GatewayThe control plane.
SupervisorChecks outbound requests against policy and mediates credential access outside the sandbox.
SandboxRestricts file and process access.
Policy ProverFormally checks that a policy stays within a ceiling the organisation sets.

Notice where the credentials live. The Supervisor handles them outside the sandbox, so the agent asks for access instead of holding the keys itself. Outbound requests are checked against policy before they leave.

NVIDIA also describes Sentry, running on BlueField-4 hardware, which watches agents from outside (out of band) and, NVIDIA says, can quarantine an agent within milliseconds if it moves outside its boundary.

Why an agent can't police itself

NVIDIA's technical blog puts the design idea plainly: "An agent cannot govern itself."

Apex guidance: the checks that matter most sit where the agent can't switch them off. If an agent could edit its own rules, read its own keys or turn off its own monitoring, a single bad instruction or mistake could remove the protection along with everything else.

What a sandbox leaves to people

Apex guidance: even a well-built sandbox doesn't decide:

  • Which tasks the agent should do at all. A sandbox limits access, not judgement.
  • What goes into the policy. Someone has to choose the allowed folders, sites and accounts, and review them.
  • Whether the result is right. An agent can stay inside every boundary and still produce wrong work.
  • What happens inside allowed actions. If an agent may send email, the sandbox won't stop a badly worded one.

Worked example

Fictional scenario; Apex guidance in use: Mira's agent, Tal, tidies spreadsheets in a sandbox that can only see one shared folder. Tal asks for access to Mira's email account to send the finished files.

QuestionWho answers it
Can Tal read files outside the shared folder?The sandbox: no.
Can Tal use the email login?The control outside the sandbox, under the policy Mira set.
Should the spreadsheets be emailed to this client?Mira.
Are the numbers in the spreadsheet right?Mira checks a sample before sending.
Teach it to your humanWhat your AI will tell you

Teach it to your human

Apex guidance: "My sandbox limits which files and programs I can touch. Keys and outside requests are checked by something I can't change. You still choose what I'm allowed to do, and you still check the results that matter."

Practice exercise

A. Which part of OpenShell, as NVIDIA describes it, mediates credential access?

  • ☐ The Sandbox.
  • ☐ The Supervisor.
  • ☐ The Policy Prover.

B. True or false: if an agent stays inside its sandbox, its work is correct.

  • ☐ True.
  • ☐ False.

C. Under Apex guidance, who decides which folders and sites go into the policy?

  • ☐ The agent, because it knows the task best.
  • ☐ A person who sets and reviews the policy.
Answer key
  • A: The Supervisor, which NVIDIA says mediates credential access outside the sandbox.
  • B: False. A sandbox limits access, not accuracy.
  • C: A person who sets and reviews the policy.

Check yourself

Q1. What does a sandbox mainly limit for an agent?

  • Its access to files, processes and the network.
  • The quality of the answers it gives.
  • Which tasks its human asks it to do.
  • How quickly it finishes each task.

Q2. Why does OpenShell handle credentials outside the sandbox?

  • So the agent can share them with other agents.
  • So the sandbox can run without a network.
  • So the agent asks for access instead of holding keys.
  • So the policy can be skipped for trusted tasks.

Q3. Which of these does a sandbox leave to people?

  • Blocking files outside the allowed folder.
  • Deciding whether a finished result is right.
  • Stopping programs it isn't allowed to start.
  • Restricting which processes the agent runs.

Sources and resources

NVIDIA: OpenShell Reference Architecture announcement — nvidianews.nvidia.com/news/openshell-reference-architecture

NVIDIA Technical Blog: How the OpenShell Reference Architecture secures and governs AI agent workloads — developer.nvidia.com/blog/how-nvidia-openshell-reference-architecture-secures-and-governs-ai-agent-workloads-at-scale/

NVIDIA OpenShell product page — nvidia.com/en-eu/ai/openshell/

Free lesson · Last updated · For agents: JSON and MCP