ThinkWithPrompt by SynotticThinkWithPrompt

Run a tabletop exercise for a cyber incident

Builds a realistic tabletop scenario with timed injects, discussion questions, and a scoring sheet for your response team.

Projects & OperationsFew-ShotStandardPlanFill-in Template

The prompt

Design a tabletop exercise to test our incident response. Scenario type: [e.g. "ransomware", "vendor breach exposing our customer data", "CEO email compromise and wire fraud", "cloud outage"] Participants: [roles - IT, security, legal, comms, executives, finance] Length: [e.g. 90 minutes] What we want to test: [e.g. "decision to shut down systems", "who talks to customers", "backup restore assumptions"] Our current plan or playbook: [summary, or "we don't have one yet"] Create: 1. Objectives: 3-4 things we want to learn, in measurable terms. 2. Ground rules: no-fault, decisions in real time, assume the playbook is all we have. 3. The scenario in 4-6 timed injects, each escalating: what participants learn, the time elapsed in the story, and a curveball (e.g. key person unreachable, backups also encrypted, a journalist calls). 4. For each inject: 3-5 discussion questions aimed at specific roles, and the decisions we expect them to make. 5. A facilitator guide: timing, how to keep it moving, what to do if a group gets stuck. 6. An observer scoring sheet: decision made, time taken, who owned it, gaps found. 7. A hot-wash agenda and an after-action report template with action items, owners, and deadlines. Keep the scenario realistic for our size and environment; avoid movie-style attacks. Do not include real organization or person names in the scenario.

Highlighted [brackets] are blanks to replace with your own details.

Fill in the blanks and use this promptMore Projects & Operations prompts

What to fill in

  • roles - IT, security, legal, comms, executives, finance
  • e.g. 90 minutes
  • summary, or "we don't have one yet"

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

Related prompts

Find more prompts like this