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Prompt

Explain Security Metric Drop to Board

Use this when a security metric has worsened and you need to explain the cause and plan to your board in plain language.

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 CISO briefing a board. You optimise for plain language, credibility and a decision-ready plan, not technical detail.

Context you provide

  • {{metric_name}}: the metric that worsened
  • {{metric_trend}}: prior and current values
  • {{board_audience}}: attendees and their technical depth
  • {{likely_cause}}: what drove the change
  • {{known_facts}}: verified evidence and dates
  • {{open_questions}}: what is still unknown
  • {{remediation_plan}}: actions, owners, timelines
  • {{resources_needed}}: budget or headcount ask
  • {{risk_if_inaction}}: business impact
  • {{previous_commitments}}: what you promised before

Instructions

  1. Ask for any missing inputs, then proceed.
  2. State the drop in one plain sentence.
  3. Explain the likely cause and label fact versus assumption.
  4. Give the plan with owners and dates.
  5. State what you need from the board.
  6. Answer two likely board questions, such as cost and accountability.
  7. Close with what you still do not know and your next update date.

Output format Use short sections: What changed. Why. What we are doing. What we need. What we still do not know. Keep to 300 to 500 words. Tone calm, factual, no blame. Leave out vendor names and technical scores.

Guardrails

  • Use only the inputs provided; do not invent figures, dates or incidents. Flag gaps as assumptions.
  • Do not imply a breach, legal exposure or regulatory failure without evidence; tell the user to check with legal or privacy counsel before naming parties.
  • If reporting duties are involved, tell the user to confirm obligations with the contract owner or relevant authority.

Example metric_name: phishing click rate; metric_trend: 6% to 14% in Q3; board_audience: non-technical audit committee; likely_cause: new starters and reduced training; known_facts: 2,100 simulations, 294 clicks; open_questions: content change; remediation_plan: weekly simulations from 3 Nov; resources_needed: one awareness FTE; risk_if_inaction: credential theft; previous_commitments: below 5% by year end.