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Keep passwords, verification codes, government identifiers, sensitive health or financial records, intimate details, and confidential work information out of general-purpose AI chatbots unless you have confirmed that the specific service, account, and use are approved for that data. When a task does not require identifying details, use placeholders and share only the minimum necessary.
Information to keep out of chatbot prompts
CISA’s 2024 Stay Safe Online When Using AI tip sheet puts the core advice simply: “Avoid sharing sensitive or confidential information with AI models – if you wouldn’t post it on social media, don’t share it with AI.” This is a useful caution, not a technical description of how every provider handles data.
Passwords, codes, and other access secrets
Do not paste passwords, passkeys, one-time verification codes, recovery codes, API keys, private keys, or answers to account-security questions into a prompt or upload. Never give a chatbot a password or one-time code so it can “log in for you.” If a service unexpectedly asks for an access secret, stop and verify the request through a channel you already trust.
Identity, financial, health, and intimate information
Keep government ID numbers, bank and card details, tax documents, medical records, insurance claims, private messages, sexual or relationship material, and precise home or travel details private unless the particular tool and use are approved. These examples can carry different legal protections depending on the information and jurisdiction; they should all be treated cautiously in an ordinary chatbot.
#1 Best Overall
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Workplace, client, student, and patient material
Do not put customer lists, case files, patient or student records, confidential source code, credentials embedded in code, internal plans, proprietary documents, or nonpublic financial information into a public chatbot unless your organization has explicitly approved that tool for the information. CISA advises against sharing company data. Separately, the Centers for Medicare & Medicaid Services (CMS) prohibits its staff and contractors from putting personally identifiable information (PII), protected health information (PHI), and specified sensitive agency information into publicly accessible tools. That is CMS policy—not a universal rule for every employer.
Why a chatbot prompt may not be private
Providers’ practices vary. Depending on the service, account, settings, and applicable agreement, prompt text and uploads may be stored or processed for purposes such as safety review, support, or model improvement. OpenAI’s consumer guidance on how data is used says a limited group of authorized personnel and trusted service providers may access content for specified reasons. That describes OpenAI consumer services, not every chatbot.
Rank #2
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OpenAI’s Data Controls FAQ says turning off model improvement prevents new conversations on a personal account from being used to train models, but those conversations may still appear in chat history. Settings and protections can differ across personal accounts, plans, and organization-managed workspaces. A setting that changes model-improvement use should not be treated as a confidentiality guarantee or as proof that content is erased.
A historical incident illustrates why data handling matters without predicting the risk of any particular prompt. The Consumer Financial Protection Bureau’s 2023 report on consumer-finance chatbots recounts a 2018 Ticketmaster UK incident involving a compromised third-party chatbot component. The report says it affected 9.4 million data subjects and included 60,000 payment-card details. Those figures describe that incident; they are not a general breach rate or estimate of the chance a chatbot will expose your information. The report is available at CFPB: Chatbots in consumer finance.
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How to get help while sharing less
- Replace identifiers with placeholders. Say “my account ending in [last four]” or “a family member” instead of supplying a full account number, name, or distinctive identifying facts. Combinations of details can still identify someone, so placeholders reduce risk but do not guarantee anonymity.
- Share only the needed excerpt. Avoid uploading a whole document when a short passage will do. Remove names, addresses, signatures, barcodes, metadata, and embedded secrets where relevant, then check the edited copy before uploading.
- Use an approved tool for restricted work data. Check your employer’s, school’s, or client’s rules for the data category and workspace. Do not assume that a chatbot available to the public is approved for confidential information.
- Check the exact account and service controls. Review the provider’s privacy and retention information, deletion options, and whether uploads, connected apps, voice, or memory are involved. Distinguish a personal account from a managed workspace; a model-improvement opt-out may not remove conversation history or stop all other processing.
- If you already submitted sensitive information, respond to the type of exposure. Use the provider’s deletion or privacy request controls where available. For workplace data, follow your organization’s incident procedures. If an access credential was exposed, change or revoke it as appropriate. There is no single remedy established for every service or kind of disclosure.
What to check before using a chatbot for sensitive work
Before entering information beyond a general, non-identifying question, check the provider’s current documentation and your organization’s rules. Useful questions include:
- Is the account personal or managed by an organization, and is this data category approved for it?
- Is content used for model improvement by default, and what exactly does an opt-out change?
- Who may access prompts or files, and for what stated purposes?
- What retention, deletion, and export controls apply?
- Do uploads, connected apps, voice features, or memory introduce additional data handling?
- Do contractual, regional, workplace, school, healthcare, or regulatory requirements apply?
OpenAI’s consumer policies are one provider-specific example, not a template that can safely be assumed to apply to other chatbots. For instance, CMS restrictions apply to CMS personnel and contractors, while other organizations may set different requirements. This is general safety guidance, not jurisdiction-specific legal advice.
Quick Recap
Best Value
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Rank #4
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