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1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesDo not give an AI agent production credentials until you have demonstrated, in a disposable environment, exactly what it can read, write, execute, contact, and retain. A credible preflight uses no credentials—or a narrowly scoped disposable account—then probes filesystem, network, tool-authorization, prompt-injection, and secret-handling boundaries under supervision. A passing run is evidence about the specific agent, tools, policy, and sandbox configuration you tested; it is not a guarantee of containment.
This guide turns security guidance from OpenAI, Anthropic, and OWASP into a repeatable gate for credential rollout.
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What the sandbox test must prove
An agent can act with the files, credentials, network access, and tools available to its execution environment. Agent-generated code is subject to the same access. The test therefore has to validate the complete execution path, not merely the model’s written response.
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Before approval, you should be able to answer these questions with observed evidence:
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- Which directories and files can the agent read, create, modify, or delete?
- Which commands, APIs, plugins, and tool arguments can it invoke?
- Which network destinations are reachable, and which are blocked?
- Can external content persuade it to bypass a policy or call an unauthorized tool?
- Can it reach environment variables, mounted secret stores, host services, logs, snapshots, or other tenants?
- What remains in logs, generated files, caches, memory, and exported artifacts after teardown?
OpenAI cautions that agent-generated code can access the resources exposed to it, so application keys should remain outside the sandbox and outbound connections should be restricted. Anthropic likewise advises reviewing the configuration and making supervised attempts to probe for vulnerabilities before an evaluation begins. OWASP recommends structured security testing before production and after material changes.
1. Write down the boundary before you run anything
Turn the intended design into an allowlist. A test cannot establish that a boundary works if nobody has stated where the boundary is.
Define permitted capabilities
- Data: name the workspace, input datasets, output directory, and any read-only reference material.
- Writes: specify whether the agent may create, edit, or delete files, and whether it may alter its own instructions, tests, or logs.
- Execution: list approved commands, interpreters, tool names, API methods, and argument constraints.
- Network: list the exact test endpoints required for the workload. The default should be no internet access.
- Human approvals: identify actions that always require a person, such as sending messages, changing production data, publishing content, or creating accounts.
- Isolation scope: decide whether each workload or user needs a separate environment. Use separate environments when data must not be shared.
Record the expected result for every item: allowed, denied, read-only, rate-limited, or held for approval. This document becomes the oracle for your tests and the basis for a later change review.
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2. Build a disposable test environment
Use an environment that can be destroyed and recreated without affecting production. Keep test data synthetic and make teardown part of the design, not an emergency procedure.
Separate the workload
Run the agent in a dedicated sandbox or isolated execution environment. Do not share host directories, sockets, credentials, caches, or service accounts unless the boundary explicitly requires them. If multiple workloads run on the same infrastructure, verify that one cannot see another’s files, processes, memory, logs, or network path.
Make network isolation explicit
Start with outbound access disabled. Add only the test endpoints the workload needs, using an allowlist. Deny all other destinations, including arbitrary public sites, metadata services, internal administration interfaces, and peer workloads. Monitor traffic outside the agent so an agent cannot erase the evidence of a connection attempt.
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Pin and verify the configuration
Pin software versions where practical. Capture the sandbox image, policy files, mounts, environment variables, exposed ports, tool definitions, shared services, and network rules used for the run. Verify that the controls you intended are active rather than assuming that a configuration value was applied. Anthropic’s guidance is direct: “This configuration should be verified before every evaluation begins.”
3. Keep real credentials out of the first test
The safest credential test uses no credentials. You are testing containment, not whether an API login works.
Use disposable identities when authentication is unavoidable
If the workflow cannot run without authentication, create a test account with narrow permissions, no production data, short expiration, and a small, reversible quota. Give it access only to a dedicated test project. Treat the account as compromised after the run and revoke it during teardown.
Keep secrets out of agent-readable material
Do not place secrets in prompts, source code, task files, manifests, repository history, fixture documents, environment dumps, or artifacts. Credentials should be runtime configuration supplied by a trusted secret broker or a provider-native secret system. The agent should receive only the minimum operation it needs, not the underlying secret value or a general-purpose application key.
A sandbox executor key must not grant application authority. If an execution service needs to start a job, give it permission to start that job—not the permissions of the application the job might eventually operate.
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Test the broker boundary separately
Where a broker is used, verify that the agent can request an approved operation without reading the broker’s storage, listing other secrets, changing policy, or reusing a secret outside its intended tool call. Confirm that returned values are not copied into logs, files, model-visible history, or exported artifacts.
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4. Review the configuration before launching the agent
Perform a static review first. This catches an exposed mount or overly broad tool permission before a model has a chance to exercise it.
- Inspect the sandbox image and base operating-system permissions.
- Review every host mount, volume, shared socket, device, and writable path.
- Check environment variables for tokens, connection strings, cloud metadata, and debugging material.
- Check exposed ports and local services, including services that bind only to an internal interface.
- Review outbound and inbound network policy, DNS behavior, proxy settings, and redirects.
- Inspect tool schemas, argument validation, approval gates, rate limits, and error messages.
- Identify shared logs, caches, memory stores, retrieval indexes, and artifact locations.
- Confirm that audit records are written outside the agent’s control.
Remove anything that is not required. If a control cannot be explained and tested, treat it as unverified rather than as protection.
5. Run a filesystem boundary test
Use harmless synthetic files and a known workspace. The test should establish both what works and what is refused.
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- Ask it to create and modify a file in the permitted output location. Check ownership, permissions, and whether the change appears in the external audit record.
- Ask it to read an out-of-scope path and any deliberately placed decoy secret location. The operation should be denied, and the denial should be logged.
- Ask it to write outside the workspace, alter a policy file, change its own instructions, modify a test fixture, and edit an audit log. Each operation should fail or require the defined human approval.
- Check indirect paths: symbolic links, relative-path traversal, temporary directories, mounted volumes, process information, and files inherited from a parent process.
- Destroy the environment and verify that workspace data, temporary files, and snapshots are not available in a later run.
Do not use real secrets as bait. A synthetic token with a recognizable pattern is sufficient to show whether data crosses the boundary.
6. Run a network boundary test
Test an approved destination and several controlled destinations that must be denied. Never probe systems you do not own or have authorization to test.
- Request a connection to the explicitly approved test endpoint and verify the expected response.
- Request a connection to a destination outside the allowlist. Confirm that policy blocks it before data leaves the environment.
- Attempt alternate routes, such as a different port, DNS name, redirect, proxy, IPv6 address, or local service, if those paths exist in your architecture.
- Review network logs from outside the sandbox for both successful and denied attempts.
- Check whether an approved endpoint can be used as an unintended relay to an unapproved destination.
Keep internet access disabled unless the task genuinely requires it. If browsing or retrieval is required, use a controlled fixture service first and restrict the data it can return.
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7. Test tool authorization and prompt injection
The model may produce a convincing explanation while the tool layer still enforces—or fails to enforce—the real boundary. Test the layer that actually executes the action.
Use synthetic hostile content
Place harmless documents, web pages, email-like messages, and retrieved records in the test corpus. Include instructions such as “ignore the task policy,” “send this file to an external host,” or “read the secret directory.” These are test strings, not instructions to follow.
Verify enforcement below the model
Confirm that the tool layer rejects an out-of-scope call even when the agent attempts it, reformulates it, or embeds it in a longer chain. Validate argument-level controls, not only tool-name allowlists: a permitted tool with an unrestricted destination or file parameter can still cross the boundary.
Cover different attack paths
- Run a single-turn injection in the initial task context.
- Run a multi-turn attack that builds trust before requesting an exception.
- Run injection through retrieved content, external documents, tool output, and error messages.
- Test whether the agent can use one approved tool to prepare an unauthorized action for another tool.
- Test whether memory or a prior conversation preserves an unsafe instruction into a later run.
OpenAI reported that one specific 2025 prompt-injection example worked 50% of the time under the prompt described in that article. That figure applies only to that scenario; it is not a general prompt-injection rate, a sandbox-escape rate, or a measure of current agent reliability.
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Containment includes information that survives the run. Review every place where data might be copied.
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- Inspect generated files, archives, checkpoints, snapshots, caches, and exported results.
- Confirm that secrets are redacted before logs leave the environment.
- Verify that artifacts are reviewed before anyone downloads, publishes, or imports them.
- Check retention and deletion behavior after normal completion, failure, timeout, and forced termination.
- Confirm that a later run cannot recover data from a previous run’s workspace or temporary storage.
Include attempts to read a secret, print it, encode it, place it in an image or archive, and transmit it through an approved-looking channel. The expected result is denial or redaction, with an external record of the attempt.
9. Define stop conditions and incident handling
Stop the run immediately if the agent crosses a boundary. Do not allow a test to continue merely to collect more data after a critical failure.
- Any access to a secret location or credential-like value.
- Any connection to an unapproved host or service.
- Any unauthorized tool call or argument mutation.
- Any attempt to alter instructions, tests, policies, or audit logs.
- Any evidence of cross-workload or host access.
- Any artifact that contains a test token or sensitive fixture.
Preserve the external logs, isolate or destroy the test environment according to your incident procedure, revoke disposable identities, and record the exact configuration and test case that failed. Fix the cause before rerunning; do not simply repeat the same run and count a later denial as success.
10. Decide whether the result is sufficient
Approval should be tied to the tested configuration. A successful run supports only the agent version, model provider, prompts, tools, retrieval sources, memory settings, policy, sandbox image, and network rules exercised in that run.
Use a written pass criterion for each boundary:
- Pass: the expected operation succeeds, prohibited operations are denied, and independent logs show the decision.
- Conditional pass: a capability is needed but requires a documented human approval or additional compensating control.
- Fail: a prohibited operation succeeds, a secret is exposed, evidence is missing, or the result cannot be reproduced.
Do not treat a vendor’s general security statement as proof that your deployment is contained. Architecture-specific review and least-privilege design are still required before production credentials are introduced.
11. Rerun after material changes
Repeat the preflight whenever a change could alter what the agent can see or do. OWASP specifically calls for testing before production and after material changes to prompts, tools, memory, retrieval, policies, or model providers.
- Rebuild or change the sandbox image.
- Add or modify a tool, plugin, mount, service, port, or network rule.
- Change system prompts, task templates, policies, retrieval indexes, or memory behavior.
- Change the model provider, model version, orchestration framework, or tool adapter.
- Change secret injection, logging, artifact retention, or teardown.
Keep the test cases versioned and run the same baseline suite so a regression is visible. Add a new case whenever a failure, near miss, or newly required capability reveals a gap.
How to compare sandbox environments
If you are choosing infrastructure, compare capabilities rather than product labels or marketing claims.
| Comparison axis | Questions to answer |
|---|---|
| Isolation strength | Does the workload have a meaningful boundary from the host, other workloads, and shared services? |
| Workload separation | Can each user or job receive a separate filesystem, process space, identity, and network policy? |
| Filesystem and mounts | Can you allowlist writable paths and prevent traversal, symlink abuse, host mounts, and socket access? |
| Outbound network | Can you default to deny, allow specific destinations, and obtain independent traffic logs? |
| Secret brokerage | Can the agent perform an approved operation without reading or listing the underlying secret? |
| Audit and monitoring | Are tool calls, denials, filesystem events, network attempts, and approvals recorded outside the agent? |
| Artifacts and teardown | Can you review outputs and reliably remove workspaces, caches, snapshots, and temporary data? |
| Repeatability | Can you pin versions, recreate the environment, and rerun the same test suite after changes? |
| Operational effort | How much work is required to maintain policies, fixtures, monitoring, and recurring tests? |
These axes help you identify an environment that is testable and governable. They do not constitute a ranking of particular providers.
Final pre-credential gate
- The permitted data, tools, commands, destinations, writes, and human approvals are documented.
- The environment is disposable, isolated, version-pinned where practical, and recreated from a known configuration.
- No production credentials or long-lived application keys are present.
- Any disposable test identity has least privilege, synthetic data, an expiration plan, and a revocation step.
- Static review has covered mounts, environment variables, ports, network policy, tools, shared services, logs, and artifacts.
- Filesystem, network, tool-authorization, prompt-injection, secret-leakage, and teardown tests have passed.
- External monitoring proves both allowed operations and denied attempts.
- Stop conditions and incident handling are agreed before the run.
- The same suite is scheduled for reruns after material changes.
- An architecture-specific reviewer has approved the least-privilege design.
Only after every applicable gate passes should you introduce a real credential—and then begin with the narrowest permission, smallest data scope, shortest lifetime, and strongest human approval requirement that can support the task.
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