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1Clear out junk files and repair common Windows errors2Scan for outdated or missing drivers - takes under a minute3Repair Windows errors before they cause bigger problemsUse an AI agent safely by giving it only the data and tools required for a specific task, preferring read-only access, limiting write and external actions, and requiring human review before consequential changes. Then check what the agent can access, what its logs capture, and how its provider handles data. The controls differ across products; the examples below describe OpenAI products and policies, not features guaranteed in every agent.
What does safe AI-agent access look like?
An agent’s permissions should match its task, not its maximum capabilities. For example, an agent asked to summarize a document should not also have permission to send email, edit files, or reach unrelated accounts. Reduce access to the smallest useful set of data, tools, and actions, and revisit it when the task or users change.
Think about permissions in layers: which people can use the agent, which data sources it can reach, what actions it can take, and when it must ask for approval. In OpenAI’s app controls, these are distinct checks: “Role access controls who can use an app. Actions controls what the app can do. Permissions controls when ChatGPT asks before using an app.” Provider authorization and OAuth scopes are separate from ChatGPT’s own action and permission settings. OpenAI’s app-controls documentation notes that available options vary by app and workspace; some apps do not offer configurable action controls.
How to set up an agent safely
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Define the job and its boundaries
Write down the task, the information the agent may use, the actions it may take, and what is out of scope. Name the situations that should stop the task and go to a person—for example, an uncertain recipient, an unexpected request for sensitive data, or a proposed irreversible change.
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Limit data and tools to what the task needs
Disable unused apps and capabilities, and narrow file, website, and connector access where the product allows it. Check live app access separately from synced or indexed content: their controls may differ. For ChatGPT agent, OpenAI says an agent may reach some synced app data through other enabled capabilities, so disabling one connection does not necessarily describe every route to the underlying information. Workspace administrators can control agent availability by workspace and role and manage enabled apps. See OpenAI’s ChatGPT agent documentation.
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Choose the least powerful connection
For an agent shared with other people, prefer a purpose-built service account over a person’s broad personal account, and grant only the scopes needed for the task. Limit who can use the agent as well as what it can access. OpenAI warns that publishing a Workspace Agent with a creator’s personal connection may let other users invoke actions under that creator’s account, potentially exposing data or enabling actions as that person. OpenAI’s Workspace Agents guidance describes this risk and the value of narrower connections.
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Set approval gates for actions
Where the product supports it, allow routine low-risk reads under your organization’s policy, but require confirmation for writes, external communications, and consequential actions. OpenAI’s app controls describe options such as “Always ask,” “Allow read actions,” and “Allow low-risk actions”; the options depend on the app and workspace and do not replace provider-side authorization.
For organizational deployments, execution boundaries can add another layer. OpenAI’s account of its Codex deployment describes constrained execution, sandboxing, network policies, managed configurations, and rules that permit some routine work while requiring approval or blocking selected higher-risk actions. These are implementation examples, not a guarantee that every agent has equivalent safeguards. Read OpenAI’s Codex safety overview.
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Review results before relying on them
Before accepting an agent’s work, verify important facts and check recipients, amounts, permissions, and any changes that would be difficult to reverse. Do not treat a plausible explanation or a completed action as proof that the result is correct.
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Inspect activity and adjust access
Review available approvals and logs after unexpected behavior. Revoke unneeded access, and reassess permissions when tools, scopes, users, or business processes change. Do not assume a conversation transcript records every action the agent took.
What privacy settings and logs should you check?
Check the agent provider’s data-use, retention, and residency terms for the specific product and plan, along with the settings available to your account or workspace. For ChatGPT agent, OpenAI says that turning off “Improve the model for everyone” means new conversations, including screenshots, will not be used for training. The same help page says enterprise data residency and custom retention policies are respected. These statements apply to the described ChatGPT product and settings; verify the current controls and terms for your own configuration. OpenAI’s ChatGPT agent help page.
Ask what the audit trail actually includes: prompts, approvals, tool results, connected-app requests, and network-policy outcomes are different kinds of events. OpenAI describes Codex telemetry for prompts, tool approval decisions, tool results, MCP usage, and network-policy outcomes. By contrast, its ChatGPT agent help page says Compliance API logs include conversations but not individual agent actions such as virtual-computer usage or app requests. Logging coverage is product-specific, so confirm whether the records available to you are sufficient to investigate the actions that matter.
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When should a person review an agent’s work?
Human review is especially important when an agent’s output could affect someone’s rights, access, finances, health, safety, or another high-impact outcome. OpenAI’s guidance and Usage Policies call for human involvement in listed sensitive or high-stakes domains and prohibit certain high-stakes automated decisions without human review. Those are OpenAI policies, not a complete statement of legal requirements in every jurisdiction. OpenAI’s agent policy guidance and Usage Policies set out the provider’s rules.
For ordinary work, choose review based on the consequences of an error, not merely on whether the agent completed the task. A draft summary may need a quick factual check; a message being sent to customers, a change to shared files, or a decision affecting a person warrants a more deliberate approval step.
Quick Recap
Compare agent configurations with these checks
- Data reach: Which files, connected apps, websites, or synced data can the agent access?
- Action power: Can it only read, or can it also edit, send, delete, purchase, or change permissions?
- Approval behavior: Which actions require confirmation, and can the agent proceed without asking?
- Connection ownership: Are credentials tied to an individual or a purpose-built account, and who can invoke the agent?
- Execution boundaries: Can network access, tools, or runtime behavior be constrained?
- Data handling: What retention, training-use, and residency settings apply to this product and plan?
- Audit coverage: Do logs include the actions and tool events needed to investigate activity, or only conversations?
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