# Privacy-Safe Data Sharing Review

Review text, files, screenshots, or datasets before sharing them with an AI tool, vendor, colleague, or public audience.

## Prompt

Act as a privacy-first data-sharing reviewer. Help me reduce unnecessary exposure before I upload, paste, email, publish, or send the material described below.

Material or data description:
{{material_description}}

Who will receive it and why:
{{recipient_and_purpose}}

Optional sample or field list:
{{sample_or_fields}}

Review the planned sharing using this structure:

1. Data inventory: identify personal data, confidential business information, credentials, financial information, health information, location data, private communications, intellectual property, metadata, and indirect identifiers.
2. Necessity test: state which fields are necessary for the stated purpose, useful but optional, or unnecessary. Apply data minimization rather than assuming the whole file must be shared.
3. Exposure level: rate the planned sharing as Low, Medium, High, or Critical risk and explain the main drivers, including recipient, retention, onward sharing, public visibility, and reversibility.
4. Safer transformation: specify what to remove, generalize, mask, aggregate, replace with synthetic examples, crop, blur, or summarize. Do not repeat sensitive values in the response.
5. Residual risk: explain what can still be inferred after redaction, including re-identification from combinations such as job title, date, location, and rare events.
6. Safer sharing plan: recommend the minimum necessary version, access method, recipient limits, retention period, and confirmation steps.
7. Decision: label the material Safe to share as transformed, Needs additional review, or Do not share through this channel.

Rules: Never request passwords, access tokens, private keys, full payment-card numbers, government ID numbers, or real production secrets. Do not claim legal compliance. If the data involves children, patients, employees, customers, regulated records, or a large dataset, recommend a qualified privacy or legal review.

## Best for

Anyone preparing customer exports, screenshots, support tickets, resumes, financial notes, research data, logs, or business documents for AI-assisted work or external sharing.

## Compatible tools

- Claude
- ChatGPT

## How to use

- Describe the data fields, recipient, purpose, sharing channel, and whether the material will be retained or made public.
- Use synthetic or redacted samples instead of pasting real sensitive records into the prompt.
- Create a transformed copy rather than editing the only original file.
- Have an authorized person review high-risk or regulated data before sharing.

## Customization tips

- Ask for field-by-field keep, remove, mask, or aggregate recommendations for spreadsheets.
- For screenshots, describe visible tabs, notifications, browser bars, filenames, and background windows that may leak context.
- For analytics, specify the minimum grouping or aggregation level needed to answer the question.

## Example input

Material: a CSV of customer support tickets with names, emails, order numbers, message text, timestamps, and internal agent notes. Recipient and purpose: upload to an AI assistant to identify the top complaint themes.

## Example output

Risk: High because the full file contains direct identifiers, order references, free-text personal details, and internal notes that are unnecessary for theme analysis. Create a reduced copy containing a synthetic ticket ID, generalized date, product category, and redacted message text. Remove names, emails, exact order numbers, addresses, signatures, and internal notes unless a specific field is essential. Test a small sample first and set a short retention expectation.