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.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
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
- If any context is missing, ask the user for the missing information before proceeding.
- 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.
- 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?