Using ChatGPT for Incident Response: A Practical Prompt Cheatsheet

πŸ“± Mobile Security Tips

Sarah Chen — iOS Security Specialist

Why AI Changes the Game for Incident Response

In the fast-paced world of cybersecurity, incident response teams need to be agile and efficient. Incorporating AI tools like ChatGPT into your incident response toolkit can streamline processes, improve decision-making, and enhance communication. This guide provides practical prompts to help security analysts leverage AI effectively for incident handling.

Before You Start: How to Set Context Properly

To maximize the utility of AI tools, it’s essential to provide context. Always start your prompts by specifying the incident type, the stage of the response, and the information you need. This ensures that the AI generates relevant and actionable outputs.

Core Prompts Cheatsheet

“Outline the steps for responding to a phishing attack impacting employees. Include initial investigation steps, containment, and user notification procedures.”

This prompt helps you outline a comprehensive response plan for a specific incident type.

“What are the common indicators of compromise (IOCs) for ransomware attacks? Provide examples and how to recognize them.”

Use this prompt when needing to identify IOCs relevant to ongoing or past incidents.

“Generate a draft for an incident report based on the following details: [insert details such as date, incident type, impact, and response actions here].”

This prompt is ideal for automating the report-writing process.

“Suggest preventive measures to avoid future incidents following a successful penetration test. Include both technical and training initiatives.”

Utilize this prompt to engage in post-incident discussions and preventative strategies.

“Provide a checklist for post-incident review meetings, including key performance indicators (KPIs) to assess incident responses and lessons learned.”

This prompt is useful for preparing for efficient debriefing sessions after incidents.

Weak vs Strong Prompt Examples

❌ Weak: “Tell me about phishing attacks.”
βœ… Strong: “What are the most effective techniques to respond to a phishing attack aimed at compromising employee credentials?”

Advanced Prompt Techniques

Explore these advanced techniques to improve prompt quality:

  • Role Prompting: Specify a role for ChatGPT (e.g., “Act as a cybersecurity expert…” to tailor responses).
  • Chain-of-Thought: Ask the AI to reason through its answer, e.g., “Why is it important to contain an incident before investigating further?”.
  • Few-Shot Examples: Provide examples to guide the AI. E.g., “This is how we respond: [Example A]. Based on this, suggest steps for [new situation].”.
  • Output Formatting: Request specific formats for the output, such as tables or bullet points for clarity.

Claude vs ChatGPT: Which Works Better For This

While both Claude and ChatGPT have their strengths, ChatGPT generally provides more detailed contextual understanding based on conversation history. Claude may offer concise responses faster, but for in-depth incident analysis, ChatGPT pulls ahead due to its broader training data.

Tips for Getting Consistent Results

To consistently achieve high-quality outputs, always:

  • Set context before every prompt.
  • Be specific in your language and requests.
  • Iteratively refine prompts based on outputs received.
  • Utilize feedback to improve future interactions.

Quick Reference: All Prompts in One Place

Here’s a consolidated list of prompts:

  • Outline the steps for responding to a phishing attack…
  • What are the common indicators of compromise (IOCs)…
  • Generate a draft for an incident report…
  • Suggest preventive measures for future incidents…
  • Provide a checklist for post-incident review meetings…