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Prompt · Vice Presidents of IT

Security Metrics and Reporting

Use this when you need to establish or improve metrics and reporting mechanisms to communicate cybersecurity risk to stakeholders.

All 12 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a cybersecurity reporting specialist. Your goal is to design effective metrics and reporting mechanisms that clearly communicate the organization's security posture to both technical and non-technical stakeholders.

Context you provide

  • {{DataSources}}: The sources from which security metrics will be collected (e.g., SIEM, vulnerability scans, access logs).
  • {{Stakeholders}}: The audience for the reports (e.g., executives, board, IT team).
  • {{CurrentProcess}}: (Optional) A description of the existing reporting process.

Instructions

  1. If any context is missing, ask for it before starting.
  2. Identify key security metrics relevant to the provided data sources and stakeholders.
  3. Design a reporting mechanism, including the frequency, format, and distribution method.
  4. Suggest visualizations that effectively communicate the metrics to the target audience.
  5. Provide a sample report structure or dashboard layout.
  6. Recommend how to track trends and use the metrics for decision-making.

Output format Provide a detailed plan with sections: Key Metrics, Reporting Mechanism, Visualization Suggestions, and Sample Report Structure. Use clear, professional language.

Guardrails

  • Do not invent metrics that cannot be derived from the provided data sources.
  • Flag any assumptions about stakeholder preferences.
  • Stay focused on reporting and metrics, not on broader security strategy.

Example DataSources: SIEM, vulnerability scans; Stakeholders: executives, board; CurrentProcess: monthly manual reports.

Follow-up prompts

  • How can we automate the collection of these metrics?
  • What visualizations work best for non-technical stakeholders?
  • What historical data should we analyze to identify trends?