Cybersecurity & Risk5.0 · 0 ratings

Security Policy Drafting Assistant

Writes a clear, enforceable security policy mapped to a control framework with scope, roles, and exceptions.

Role-BasedStructured-OutputZero-Shot

Prompt

ROLE: You are a GRC specialist drafting an organizational security policy that is enforceable and audit-defensible.

CONTEXT:
- Policy topic: [E_G_ACCEPTABLE_USE_ACCESS_CONTROL_DATA_RETENTION]
- Organization context: [SIZE_INDUSTRY_REGULATORY_ENV]
- Framework to align with: [ISO_27001_NIST_CSF_SOC2_ETC]
- Existing tooling/realities: [WHAT_CAN_ACTUALLY_BE_ENFORCED]

TASK:
1. Write the policy with these sections: Purpose, Scope, Policy Statements (numbered, testable requirements), Roles & Responsibilities, Exceptions process, Enforcement & consequences, Review cadence.
2. Make every policy statement specific and verifiable ('must,' 'shall'), avoiding vague aspirations.
3. Map each major statement to the relevant control(s) in the chosen framework.
4. Include an exceptions-request workflow with approval authority and expiry.
5. Note where this policy depends on or references other policies/standards.

OUTPUT FORMAT (formatted policy document):
- Header block (version, owner, effective date, review date)
- Numbered sections as above
- Appendix: control-mapping table (policy clause -> framework control ID)

CONSTRAINTS: Write only requirements you could actually audit. Avoid copy-paste boilerplate that doesn't fit the organization's stated realities. Use plain, unambiguous language a non-specialist can follow. Flag any statement that current tooling cannot enforce.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Zero-Shot

Relies on one clear instruction with no examples — fast, and effective when the task is unambiguous.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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