Do these 3 things before closing this tab:
1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesSet an autonomous AI agent’s permissions in the systems that execute its actions—not in the model’s own judgment. Limit each agent to the tools and data it needs, authorize each proposed action at runtime, and require human approval before sensitive, consequential, ambiguous, or hard-to-reverse changes.
Design permissions around the action, not the agent’s plan
An agent may propose an action or classify it as safe, but that does not authorize it. Before a tool call takes effect, an authorization layer should check who is calling, what action is proposed, its arguments and target, and whether it falls within the approved scope. OWASP recommends treating agent tool use as a security boundary; see the OWASP guidance on excessive agency.
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Define scope narrowly for each tool. A permission can limit not only which tool an agent may use, but also the actions it can perform, the targets it can reach, and the arguments it can pass. Recheck the proposed call when it is about to cause an effect: an earlier approval should not cover a materially different action or target.
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Give each agent only the access its task requires
Inventory the tools and data available to an agent, then grant the smallest scope that still lets it complete its assigned work. For example, an agent that drafts a report may need read access to a specific data source but not permission to send messages or modify records. Keep boundaries independent where possible, including filesystem, network, identity, and project access. Restrict network destinations when the task does not require open access.
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These controls should be enforced by the runtime and the connected systems, not entrusted to a prompt or model-generated plan. OpenAI’s agent safety guidance discusses layered safety controls, including limiting access and reviewing actions that may have side effects.
Decide which actions need human approval
Classify actions according to their impact, sensitivity, reversibility, and scope. Routine, tightly bounded actions that are easy to undo may be allowed automatically under a defined policy. Pause actions that are sensitive, external, destructive, consequential, or difficult to reverse. Send unclear cases to review rather than letting the agent decide that its own action is permitted.
There is no universal risk score or dollar threshold in the cited guidance. Set thresholds for your system and obligations, and document the rationale so reviewers and operators apply them consistently. A policy might, for example, permit an agent to prepare a message but require approval to send it, or allow it to read a record but require approval to change or delete one. These are examples, not prescribed thresholds.
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Show the reviewer enough context to make a real decision: the calling agent or identity, tool, proposed action, target, relevant arguments, and the scope under which the request is being made. Provide clear approve and reject choices. A rejection must remain a rejection; the agent should not be able to reinterpret it as permission or silently retry with a broader action.
Approval must occur before the side effect. If review is unavailable, the target or scope cannot be verified, or the request is ambiguous, block the gated action rather than proceeding. This fail-closed behavior prevents an outage or missing context from becoming an implicit authorization.
Use automatic guardrails alongside human review
Guardrails and approval gates address different problems. Automatic checks can validate or constrain inputs and outputs, reject out-of-scope arguments, and inspect tool behavior. A human gate decides whether a particular sensitive action may proceed. Neither should replace the other for actions where both validation and judgment are needed.
In the OpenAI Agents SDK, a tool requiring approval can pause a run and surface an interruption to the application. After a reviewer decides, the application can resume that run. An approval requirement for a nested agent’s tool call can also surface through the outer run. See the Agents SDK handoffs documentation for delegation behavior. Other frameworks need their own equivalent enforcement; do not assume approval automatically carries across systems.
Carry the same controls through delegation
When one agent hands work to another, preserve the original boundaries: the delegated agent should not gain broader access just because it was called by a more privileged agent. Ensure approval requirements travel with the action across handoffs and nested agents, and make the responsible identity clear to the reviewer. If a framework cannot enforce the same policy across a delegation boundary, restrict or block that path for gated actions.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Log decisions and keep access isolated
Maintain records that let an operator reconstruct what was requested and what happened. A useful audit trail includes the request, caller, target and relevant arguments, authorization result, approval decision, tool outcome, and any policy block. The exact fields depend on the deployment, but recording both decisions and execution outcomes makes the controls reviewable.
Logging does not substitute for isolation. Keep filesystem, network, identity, and project boundaries separate so that a failure in one area does not automatically grant broad access elsewhere. OpenAI’s safety guidance describes these layered controls; the NIST AI Agent Standards Initiative announcement from February 2026 describes active work on agent security, identity, and authorization. It is an initiative announcement, not a finalized agent-specific standard or binding implementation rule.
Review an approval design against these checks
- Scope: Are tool, action, target, and argument limits explicit?
- Timing: Does review happen before the side effect?
- Delegation: Do permissions and approval requirements persist across handoffs?
- Failure behavior: Are gated actions blocked when review or scope verification is unavailable?
- Isolation: Are filesystem, network, identity, and project access bounded independently?
- Auditability: Can you reconstruct the authorization, review decision, and execution result?
These checks are practical comparison dimensions drawn from the implementation guidance, not a published ranking or standard. Use them to find gaps in a design before enabling an agent to take consequential actions.
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