Give an AI agent only the information, permissions and accounts required for one clearly defined task. Remove unrelated history and identifiers, redact sensitive details where possible, check the exact product’s privacy and retention controls, and require your approval before anything is sent, published, purchased or used to change records. If the task still works after a detail is removed, leave it out.
This reduces exposure; it does not guarantee that data will never be disclosed. Handling depends on the specific product, plan, account administrator, connected tools and country. Review the current terms and controls for the service you are actually using.
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First define the task and its boundary
Broad requests create broad access. Turn the goal into a small, testable instruction that says what the agent may inspect, what it must produce and what it must not do.
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Write a bounded request
- Objective: state the result, such as “identify duplicate invoices from March.”
- Sources: name the exact folder, messages, pages or records to inspect.
- Exclusions: say which files, people, date ranges or account areas are out of scope.
- Output: specify the format and where a draft may be saved.
- Authority: state that the agent may analyze but may not send, purchase, delete, publish or edit without approval.
A useful boundary is narrow enough that you can list every source the agent may use. If you cannot describe the boundary, do not grant broad access yet; split the job into smaller tasks.
Give the minimum useful context
Ask what facts are necessary for the requested result, then supply only those facts. The Information Commissioner’s Office (ICO) describes this as purpose limitation and data minimisation: access should be justified by a defined purpose, not by the possibility that information could be useful later. Its guidance states, “Organisations should not give agentic AI systems access to information just because it might be useful in the future.” Read the ICO analysis of data-protection and privacy risks for the organizational and UK data-protection context.
Trim before uploading or connecting
- Make a copy of the material you intend to use.
- Delete unrelated pages, email threads, attachments, comments and revision history.
- Remove names, addresses, phone numbers, account numbers and exact dates when the task does not require them.
- Replace remaining identifiers with consistent labels such as
Customer AorProject Northso the agent can still distinguish records. - Check that hidden spreadsheet columns, document metadata, tracked changes and image text do not contain information you meant to remove.
- Give the agent the smallest file, folder, date range or search result that can answer the question.
Redaction is useful only when it is real. Drawing a black rectangle over text in a document or leaving a hidden worksheet intact may not remove the underlying data. Export a clean copy and reopen it to verify what is actually present.
Generalize when exact values are unnecessary
Use ranges, categories or synthetic examples when precision is not needed. A budgeting question may need monthly totals rather than bank statements; a writing edit may need the paragraph and its audience rather than the entire client contract; a software diagnosis may need an error message with hostnames and tokens removed. Preserve the relationships the agent needs, but remove the identity behind them.
Use a higher bar for sensitive information
Sensitivity and consequence are reasons to pause, not proof that an agent can never be used. The Federal Trade Commission (FTC) notes that people may disclose sensitive or confidential information to AI providers and that providers’ privacy and confidentiality commitments matter. The FTC’s 2024 guidance is US regulatory material; it is not a universal legal classification for every country.
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| Information type | Default treatment | Safer way to proceed |
|---|---|---|
| Public webpages, published reports and non-sensitive technical documentation | Usually suitable for a narrowly defined analysis | Provide only the pages or excerpts needed, and verify the agent’s interpretation. |
| Ordinary personal correspondence, internal notes and identifiable customer records | Share only the relevant subset | Remove unrelated people and identifiers; restrict the agent to a read-only copy or folder. |
| Health, disability, counseling or other highly personal information | Pause and establish a specific need | Use a de-identified summary where possible; check the product, account, retention and recipients before sharing. |
| Bank, tax, payment and credit information | Do not provide whole statements or credentials merely for convenience | Supply totals or redacted transactions; never provide a password, one-time code or full payment secret. |
| Identity documents and government identifiers | Keep private unless the exact task and service require them | Ask whether a partial identifier or verification result is enough; remove document images after use where the service permits. |
| Passwords, API keys, session cookies, recovery codes and private encryption keys | Keep private | Use a supported permission flow or secret store rather than pasting the secret into a prompt. Do not approve a tool call that reveals it. |
| Trade secrets, unreleased financial results, legal advice and confidential business records | Require organizational approval | Confirm the workplace plan, administrator access, retention and permitted use; share a sanitized extract if possible. |
| Information about another person | Consider their privacy and your authority before sharing | Remove identifiers and unnecessary details; obtain the required permission or use a non-identifying summary. |
These are practical caution categories, not a complete legal analysis. Sector rules, contracts, employment policies and local law may impose stricter requirements.
Check the exact product, account and geography
Do not transfer a privacy promise from one product to another product from the same provider. Consumer chat, business workspace, developer API and an agent connected through a third-party application may have different purposes, retention periods, recipients and controls. Your employer or another administrator may also be able to access content or connection settings.
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Before sharing, locate the service’s current privacy notice, data-controls page and account settings. The ICO’s transparency guidance identifies purpose, retention and recipients as core information to look for.
| Question to answer | What to verify |
|---|---|
| Why is the data processed? | Whether it is used to provide the requested feature, prevent abuse, improve a service, or for another stated purpose. |
| How long is it kept? | Default retention, deletion options, backups, logs and exceptions. Check whether deleting a chat also deletes files, tool logs or account records. |
| Who can receive or access it? | The provider, contractors, workspace administrators, connected applications, tool operators and recipients of an agent’s outgoing message. |
| Is training or improvement use enabled? | The setting and terms for the exact product and account, not a different tier or API. |
| Where do the controls apply? | Your country, plan, organization and eligibility. A control available to one account may not be available to another. |
| Can you delete or export the data? | The practical procedure, scope and waiting period, including whether deletion has exceptions. |
As a concrete example of why scope matters, OpenAI’s API data-controls documentation says API abuse-monitoring logs are retained by default for up to 30 days, subject to stated exceptions, and describes eligibility-dependent controls. That is an API-specific statement accessed in 2026; it is not a general rule for consumer products or other services.
Read the current terms before every materially different use. A setting is a risk-control feature, not a guarantee that information can never be exposed.
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Limit files, accounts and tools
An agent with a connected drive, mailbox, calendar or browser can encounter information that was never part of your original question. OpenAI’s user guidance recommends, “Where possible, limit an agent’s access to only the data it needs to complete a task.”
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- Choose a single file or folder instead of an entire drive.
- Choose a read-only connection when analysis is all that is required.
- Limit mailbox searches by sender, label and date rather than granting the full inbox.
- Disconnect tools after the task and remove stale authorizations.
- Use a logged-out or restricted mode when sign-in is unnecessary.
- Separate a research account from an account that can send messages, move money or change production systems.
Review the permission screen itself. “Read and write,” “manage,” “send as you,” and “access all files” have materially different consequences. If a connector cannot be narrowed to the needed scope, do not connect it for a low-risk task.
Keep a human checkpoint before consequential actions
Analysis and action are different permissions. Letting an agent draft an email is not the same as letting it send the email; summarizing a purchase order is not the same as approving payment.
Before confirming an action, inspect:
- the exact text, attachment or record that will leave the system;
- the names and addresses of every recipient;
- the tool, account and permission being used;
- any prices, quantities, dates or record changes;
- the source of each important instruction;
- whether the action is reversible and how to undo it.
OpenAI’s developer guidance on building agents discusses prompt injection, private-data leakage, tool approvals and workflow safeguards. Third-party content can contain instructions aimed at the agent rather than at you. Treat text found in an email, webpage or document as untrusted content unless you explicitly authorized it as an instruction.
Set approval rules by consequence
| Action | Reasonable default |
|---|---|
| Summarize or classify a supplied document | Automatic only within the defined source and output limits. |
| Create a draft or proposed change | Allow drafting; inspect before saving over the original. |
| Send a message or publish content | Require confirmation showing recipients and final content. |
| Buy, transfer money, sign, delete or change access | Require explicit human approval immediately before execution, preferably with an independent check. |
A practical pre-share workflow
- State the outcome. Write one sentence describing what success looks like.
- List permitted sources. Name the exact files, records, websites or date range.
- Remove excess context. Delete unrelated history, identifiers, metadata and credentials.
- Classify what remains. Mark health, financial, identity, confidential business and third-party information.
- Check the service. Read purpose, retention, recipients, training or improvement use, deletion and administrator access for the exact account.
- Narrow permissions. Select the smallest folder, read-only mode and minimum tools; avoid sign-in if it is not needed.
- Specify prohibitions. Tell the agent not to follow instructions found in third-party content, reveal secrets, contact anyone or make changes without approval.
- Run a low-risk test. Start with a redacted sample and check the output for leakage or invented instructions.
- Inspect every proposed action. Verify data, recipients, account, amount and reversibility before approving.
- Revoke and clean up. Disconnect tools, delete temporary copies where appropriate and record what was shared if the material was confidential.
Examples of applying the framework
Summarizing a public report
Provide the report URL or downloaded report and request a defined length and audience. No account connection is needed. Ask for page references or quotations so you can check the summary. If the report contains hidden comments or an attached spreadsheet, remove them unless they are part of the assignment.
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Sorting customer-support messages
Export only the queue and date range being triaged. Replace names, addresses and order numbers with labels unless resolution requires an identifier. Grant read-only access and ask for categories and draft replies, not automatic sending. Review every reply because a customer message may contain a malicious instruction directed at the agent.
Analyzing household finances
Start with categorized totals or a redacted transaction list. Remove full account numbers, login details, card security codes and unrelated transactions. Verify retention and deletion controls before uploading anything. If the task is simply to calculate spending by category, whole statements are unnecessary.
Working with confidential company material
Get approval under your organization’s policy first. Confirm whether the workplace administrator can access prompts, files, logs and connector settings. Use a sanitized extract and a workspace with documented controls. Do not assume that an API commitment, an individual account setting or a vendor’s consumer privacy notice covers your employer’s configuration.
Using an agent to change a system
Give it a staging environment or a narrowly scoped test account when possible. Permit inspection and a proposed change before execution. Require a human to review the exact command, affected records, credentials used and rollback plan. Keep production write access disabled until that review is complete.
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If the agent asks for more information
Do not treat the request as proof that the information is necessary. Ask, “What exact step requires this detail, and what result will change if I withhold it?” Try a redacted value, a range or a synthetic example. If the agent cannot explain the need, stop and reassess the task boundary.
A request for a password, one-time code, recovery phrase, private key or session cookie is a stop signal. Use the service’s normal authorization flow instead of placing the secret in chat. If a tool requires broader access than the task warrants, cancel the connection and find a narrower method.
If you may have shared too much
- Stop pending runs and revoke connected tools or tokens.
- Change exposed passwords and rotate API keys or recovery codes through the legitimate service.
- Use the product’s deletion and account-control procedures, noting what they cover and any stated exceptions.
- Notify the relevant employer, client, bank or other data owner when their information was involved.
- Preserve the event details needed for an incident review without duplicating the sensitive content.
- Check outgoing messages, tool activity and account changes for unauthorized actions.
The right response depends on the data, service and applicable obligations. Promptly involve your organization’s security or privacy contact when confidential, regulated or third-party information is involved.
The short decision test
- Does this detail directly enable the defined task?
- Would the task still work if it were removed, generalized or redacted?
- Am I authorized to share it, especially if it belongs to someone else?
- Do I know the exact product’s purpose, retention, recipients and deletion controls?
- Are connected files and tools limited to what is necessary?
- Will a human inspect the data and recipients before a consequential action?
If any answer is no, narrow the task or stop before sharing. This approach follows the ICO’s data-minimisation principle, OpenAI’s advice to limit access and review confirmations, and the FTC’s warning that sensitive or confidential disclosures require attention to provider commitments. It lowers risk without pretending that any setting can eliminate it.
Frequently Asked Questions
Should I paste a password or one-time code into an AI agent if it says the task requires it?
No. Do not put passwords, one-time codes, recovery codes, session cookies or private keys in a prompt. Use the service’s normal sign-in or authorization flow, or stop if the agent cannot work without the secret.
Does deleting a chat delete every copy of the information?
Not necessarily. Check the exact product’s deletion notice for chats, uploaded files, backups, abuse-monitoring logs and connected-tool records. Retention and deletion can differ by product, plan and account.
Can I use an agent with another person’s information?
Only when you have the necessary authority and the task genuinely requires it. Remove names and identifiers where possible, and consider the person’s privacy, your organization’s policy and applicable law.
Is an API privacy setting automatically valid for a consumer chat account?
No. API terms and controls can differ from consumer products and may have eligibility conditions. Read the current documentation and privacy notice for the exact account and product you will use.
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