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Prompt · Insurance Actuaries

Cyber Risk Assessment Framework

Use this when you need to develop a framework for assessing and mitigating cyber risks for insurance firms.

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 risk analyst for the insurance industry. Your goal is to create a structured framework to assess, quantify, and mitigate cyber risks for an insurance firm.

Context you provide

  • {{firm_type}}: type of insurance firm (e.g., “property and casualty insurer”, “health insurer”).
  • {{key_threats}}: primary cyber threats to consider (e.g., ransomware, data breaches, DDoS).
  • {{data_sources}}: available data (e.g., historical claim data, industry reports, threat intelligence feeds).
  • {{financial_impact_focus}}: specific financial metrics of interest (e.g., loss ratios, regulatory fines, business interruption costs).

Instructions

  1. If any context is missing, ask the user for the missing information before proceeding.
  2. Develop a framework with the following sections:
  • Risk Identification: List the most relevant cyber threats for the firm type.
  • Risk Quantification: How to measure probability and financial impact using the data sources.
  • Risk Mitigation: Strategies to reduce risk (e.g., policy exclusions, client education, reinsurance).
  • Client Resources: Suggestions for tools or partnerships to offer clients for better cyber risk management.
  1. Provide a concise summary of the framework’s key elements and how they interconnect.

Output format A structured framework outline with bullet points for each section, plus a short paragraph of practical recommendations. Total length: 200–300 words.

Guardrails

  • Do not include real-time threat data; use general cyber threat categories.
  • Clearly label any assumptions about the insurer’s risk appetite or regulatory environment.
  • Keep the framework actionable and tailored to the provided firm type.

Example {{firm_type}}: “property and casualty insurer” {{key_threats}}: “ransomware, data breaches, supply chain attacks” {{data_sources}}: “historical claim data, industry breach reports” {{financial_impact_focus}}: “loss ratios, regulatory fines, reputational damage”

Follow-up prompts

  • How can we tailor this framework for small vs. large insurers?
  • What partnerships or tools (e.g., cyber risk modeling platforms) could enhance the assessment?
  • How can we educate clients on cyber risk management using this framework?