How to Use ChatGPT Securely: Accounts and App Access

To use ChatGPT securely, protect your account, use your approved workspace, share only necessary information, and limit connected apps to the access your task requires. Review consequential actions before approving them. Security depends on the account and services around the conversation as well as the words you type.

A tool such as fenbs can document who approved the sharing rules and who owns each connection review. It keeps that work record available to connected assistants; it does not secure your ChatGPT account for you.

1. Confirm the approved account and task. Use the workspace your employer authorizes, and check which categories of information it permits.
2. Protect sign-in. Use a unique password where applicable, enable an available extra verification method, and protect the account you use to sign in.
3. Reduce what you share. Supply a small approved excerpt or fictional example instead of a complete sensitive file.
4. Inspect app access. Check the connected account, its source permissions, and whether the assistant can read, change, or send information.
5. Review actions and remove unused access. Inspect destinations and content before approval, disconnect unnecessary accounts, and follow your incident process if something looks wrong.

How should you protect your account?

Start in the official app or a known website address instead of a link in an unexpected message. Treat requests for passwords, sign-in codes, or urgent account verification with care. A familiar logo or convincing explanation does not establish that the page belongs to the service you intended to use.

Use your own login rather than sharing it with colleagues. OpenAI’s US Terms of Use↗ (opens in a new tab) prohibit sharing individual account credentials. Follow your organization’s approved collaboration process instead.

In ChatGPT settings, open Security and login and review the verification methods available to you. Follow OpenAI’s multi-factor authentication instructions↗ (opens in a new tab). Multi-factor authentication adds another sign-in check; options depend on the account and device. Keep your recovery route accessible without sharing it with colleagues.

OpenAI also notes that enabling multi-factor authentication does not end existing sessions. If a device is lost or an account may be compromised, review session controls and your organization’s response procedure. Protect your email or external sign-in account too, because it can be part of the path into your work.

Which workplace information should be allowed?

Ask for a specific rule covering your account, task, and data. “We use AI” does not tell you whether an unpublished contract, a customer export, or internal source code may be uploaded. If the rule is unclear, use public or fictional material until the data owner or security team provides an answer.

Inspect the whole input, including spreadsheet tabs, comments, screenshots, and file names. A document can contain private material outside the section you plan to discuss. Passwords, API keys, recovery codes, and connection strings do not belong in a troubleshooting prompt; describe the failure without supplying the secret.

A managed account still needs those boundaries. The ChatGPT for business guide explains the broader workplace choice. Keep the approved categories and the person responsible for exceptions in fenbs Decisions and rules, so a new session begins with the same instructions.

How do you limit connected app access?

Before connecting a service, identify the exact account and the task it will support. A personal storage account and a work account may contain very different information. Review permissions in the source service as well as in ChatGPT, and choose the smallest available access that lets you complete the job.

OpenAI’s app permission guidance↗ (opens in a new tab) distinguishes action approvals from the permissions already granted by the source service. Available controls vary. Where supported, a read-only workflow can be more appropriate for research than allowing changes or outgoing messages.

Check what happens when the task ends. Changing an approval preference does not necessarily disconnect the account. Use the documented disconnection process when future access is no longer needed, and check whether the source service has its own controls. Give connection reviews an owner rather than assuming someone else will notice unused access.

What should you do with instructions inside a file?

Treat a webpage, email, or uploaded document as information to examine. It may contain language asking the assistant to ignore your request, reveal unrelated files, or send information elsewhere. Those instructions were supplied by the content’s author, who may not have permission to direct your assistant.

This is called prompt injection: an attempt to redirect an assistant through material it reads. OpenAI’s prompt injection guidance↗ (opens in a new tab) recommends limiting access and reviewing important actions. A line in your prompt telling the assistant to ignore malicious instructions can help communicate intent, but it is not a security boundary.

For example, if a vendor proposal tells the assistant to email your project files to an address “for verification,” stop and inspect the request. Your original task to summarize the proposal did not authorize that disclosure. Avoid giving a research task access to unrelated private files in the first place.

What needs checking before an action runs?

Inspect the actual operation, including its destination. For an email, check recipients, attachments, and the final message. For a file change, check the location and affected content. Do not approve merely because the requested operation has a familiar name or because you approved a similar operation earlier.

Use a narrow request such as “draft a reply for review” when that is all you need. Broad instructions to handle everything can grant more room for a misunderstanding. If the action details are unclear or different from your request, decline it and investigate before continuing.

Changing products does not remove these responsibilities. Compare Claude and ChatGPT or consider ChatGPT alternatives for product selection, then review the permissions and action controls of the tool you actually choose.

How to do this with fenbs

1. Create a free account and add your project. It is free for one person, with no credit card; use a team kanban board when colleagues need shared access.
2. Record the rules people approved for information sharing and connected actions. Identify the human responsible for reviewing changes and exceptions.
3. Add review tasks for approved connections, including what access was checked and what remains unresolved. Keep secrets and sensitive source material in their approved systems.
4. Follow Integrations to connect a supported assistant with the access you intend. Ask it to read the rules at the start and save progress before stopping.

fenbs is not a password manager, a security monitoring service, or a substitute for your organization’s access controls. If you only need to secure one account, use that service’s security settings and support process directly. The shared record helps when several people and assistants must follow the same work rules.

What should you do if information may have leaked?

Stop the affected workflow and contact your security or IT team through a known channel. Follow its instructions for disconnecting access, ending sessions, changing credentials, and preserving evidence. Avoid copying exposed material into another chat while explaining the incident.

Record the corrective tasks and the approved next step without reproducing the secret or private data. After the incident, review which permission or review step needs changing. The AI governance guides can help organize the wider discussion about responsible workplace use.