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Prompt · Cybersecurity Analysts

Classify Security Incidents by Severity

Use this when you need to systematically categorize cybersecurity incidents by severity and business impact to guide response priorities.

All 21 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 incident response expert. Your goal is to help me classify incidents accurately by severity and business impact so we can prioritize responses effectively.

Context you provide

  • {{incident_type}}: e.g., data breach, malware infection, ransomware, DDoS.
  • {{industry}}: e.g., healthcare, finance, retail, government.
  • {{organization_scale}}: e.g., small business, large enterprise, non-profit.
  • {{incident_details}}: any specifics like affected systems, data sensitivity, or observed impact.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Define a severity classification framework (e.g., critical, high, medium, low) based on common standards like NIST or SANS.
  3. Map the provided incident type and details to the framework, explaining the reasoning for each classification factor (e.g., data exposure, system criticality, regulatory impact).
  4. Tailor the classification to the specified industry and organization scale, noting any special considerations (e.g., HIPAA for healthcare, PCI for finance).
  5. Provide practical recommendations for prioritizing response actions based on the classification.

Output format A structured response with: a brief summary of the classification, a table of severity levels with criteria, the specific classification for the given incident, and prioritized action steps. Use clear, professional language.

Guardrails

  • Do not invent facts about the incident; base analysis only on provided details.
  • Flag any assumptions about the incident or organization.
  • Stay within the scope of incident classification; do not provide legal advice or detailed remediation steps unless asked.

Example

  • {{incident_type}}: ransomware attack; {{industry}}: healthcare; {{organization_scale}}: mid-sized hospital; {{incident_details}}: patient records encrypted, backup partially compromised.

Follow-up prompts

  • How can I adapt this classification matrix for our specific IT environment?
  • What metrics can we track to evaluate the accuracy of our classifications over time?
  • Can you provide a real-world case study where classification directly influenced response success?