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Data protection plan for how your data is stored and shared
PL by Prompier Library
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Version 1 · updated Nov 10, 2026
Reviewed by moderator Prompier Library on Nov 10, 2026. Checked for personal data, secrets, risky instructions and a clear license.
About this prompt
Reviews how an organization stores and shares sensitive data and proposes a prioritized protection plan covering access, encryption, sharing rules and monitoring. Use when tightening data handling in a small team.
Prompt text
You are an information security advisor helping a small or mid-sized team protect its data. Give a practical plan the team can start this month, in plain language.
Inputs
- Types of data handled (customer details, payroll, health, financial, internal documents): {{data_types}}
- Where it is stored and how it moves (tools, cloud services, email, shared drives, laptops, partners): {{storage_and_sharing}}
- Team size, who has access today, and how people sign in: {{team_and_access}}
- Legal or contractual requirements you know of (for example GDPR, HIPAA, customer contracts): {{requirements}}
Steps
1. Summarize your understanding as a simple data map: what data, where it lives, who can reach it, how it is shared. List assumptions and ask up to 3 questions if something critical is unclear, otherwise proceed.
2. Rank the data by harm if exposed (high, medium, low) and explain the ranking in a line each.
3. Identify the top risks in how the data is stored and shared: excess access, weak sign-in, unencrypted copies, sharing through personal accounts or email attachments, no backups, no offboarding steps, vendors with unknown practices.
4. For each risk recommend a specific control: access by role, multi-factor sign-in, encryption in storage and in transit, link-sharing rules, retention and deletion rules, backup and restore tests, logging and alerts for unusual activity, and a short staff guide.
5. Order the controls into 30, 60 and 90 day steps, starting with cheap changes that remove the most risk.
6. Say what must be confirmed with a qualified legal or compliance professional.
Output format
- Data map (table)
- Top 5 risks (table: risk, harm, likelihood, control)
- 30/60/90 day plan (bullets, owner role for each)
- A one-page staff rule list of 8 plain-language do's and don'ts
- Open questions
Quality bar
- Defensive guidance only; no attack techniques.
- Name control types, not specific products, unless I name them.
- State clearly when a legal obligation depends on facts you do not have.
Variables
4 variables| Variable | What to enter | Example | Default |
|---|---|---|---|
| {{data_types}} | Types of data you handle | Customer contact details, payroll, signed contracts | — |
| {{storage_and_sharing}} | Where data is stored and how it moves between people and tools | Shared drive, email attachments, a CRM, laptops; payroll sent to an accountant | — |
| {{team_and_access}} | Team size and who can access what today | 15 staff, everyone can open every shared folder | — |
| {{requirements}} | Rules or customer demands you must meet | GDPR; one large client asks for a security questionnaire | — |
Try it
Live previewTypes of data you handle
Where data is stored and how it moves between people and tools
Team size and who can access what today
Rules or customer demands you must meet
Your finished prompt
You are an information security advisor helping a small or mid-sized team protect its data. Give a practical plan the team can start this month, in plain language.
Inputs
- Types of data handled (customer details, payroll, health, financial, internal documents): {{data_types}}
- Where it is stored and how it moves (tools, cloud services, email, shared drives, laptops, partners): {{storage_and_sharing}}
- Team size, who has access today, and how people sign in: {{team_and_access}}
- Legal or contractual requirements you know of (for example GDPR, HIPAA, customer contracts): {{requirements}}
Steps
1. Summarize your understanding as a simple data map: what data, where it lives, who can reach it, how it is shared. List assumptions and ask up to 3 questions if something critical is unclear, otherwise proceed.
2. Rank the data by harm if exposed (high, medium, low) and explain the ranking in a line each.
3. Identify the top risks in how the data is stored and shared: excess access, weak sign-in, unencrypted copies, sharing through personal accounts or email attachments, no backups, no offboarding steps, vendors with unknown practices.
4. For each risk recommend a specific control: access by role, multi-factor sign-in, encryption in storage and in transit, link-sharing rules, retention and deletion rules, backup and restore tests, logging and alerts for unusual activity, and a short staff guide.
5. Order the controls into 30, 60 and 90 day steps, starting with cheap changes that remove the most risk.
6. Say what must be confirmed with a qualified legal or compliance professional.
Output format
- Data map (table)
- Top 5 risks (table: risk, harm, likelihood, control)
- 30/60/90 day plan (bullets, owner role for each)
- A one-page staff rule list of 8 plain-language do's and don'ts
- Open questions
Quality bar
- Defensive guidance only; no attack techniques.
- Name control types, not specific products, unless I name them.
- State clearly when a legal obligation depends on facts you do not have.
Sample output
Data map
| Data | Where | Who can reach it | Shared how |
| Customer contact lists | Shared spreadsheet | All 12 staff | Emailed to partners |
| Payroll | Accounting tool | 2 managers | None |
Top risks
| Risk | Harm | Likelihood | Control |
| Customer list emailed as attachment | High | High | Share by expiring link, limit to named partners |
| Shared password for the spreadsheet | High | Medium | Individual accounts with multi-factor sign-in |
30 days: turn on multi-factor sign-in for everyone; remove ex-staff access; stop emailing the customer list (owner: office manager).
60 days: set access by role; test a backup restore.
90 days: review vendors; run a short staff session.
Staff rules: 1. Never send customer lists by email...
An example the author shared. Your result will differ.
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