AI Prompts Cheatsheet for Cybersecurity Analysts

🤖 AI Prompts Cheatsheet

Priya Nair — Prompt Engineering Expert

Why AI Changes the Game for Cybersecurity Analysts

Leveraging AI tools such as ChatGPT can significantly enhance the capabilities of cybersecurity analysts. These tools help in automating mundane tasks, generating threat intelligence, and even drafting reports. By using AI effectively, analysts can focus on higher-level tasks and improve response times during incidents.

Before You Start: How to Set Context Properly

Setting the right context is crucial when using AI. This involves clearly stating the role the AI should assume, the specific domain knowledge it requires, and any particular constraints you want it to follow. A well-defined context helps the AI generate more relevant and useful responses.

Core Prompts Cheatsheet

1. Describe typical indicators of compromise (IOCs) related to phishing attacks.

Use this prompt to gather information about IOCs, such as domains, IP addresses, or file hashes associated with phishing. This helps in threat hunting and incident response.

2. Generate a report on recent vulnerabilities in web applications and suggest mitigation strategies.

This prompt aids in keeping up with the latest vulnerabilities while generating practical solutions that can be implemented in a corporate environment.

3. What are common network attack vectors and how can I secure them?

This helps explore various attack vectors and compile a checklist for securing network assets, a critical task for any SOC analyst.

4. Create a playbook for responding to ransomware attacks.

Ask this to generate a structured response plan for ransomware incidents, including immediate actions and recovery steps.

5. Outline the steps for conduct a security assessment on a cloud service provider.

This prompt can help you structure your evaluation process on a cloud service provider, facilitating compliance and risk management.

Weak vs Strong Prompt Examples

❌ Weak: Tell me about cybersecurity.
✅ Strong: List the top 10 cybersecurity threats faced by businesses in 2023, including examples.

Advanced Prompt Techniques

Applying advanced prompting techniques can elevate the quality of AI responses.

  • Role Prompting: Always tell the AI its role. For example, “As a cybersecurity expert, describe…” This helps tailor its responses to your needs.
  • Chain-of-Thought: Lead the model through your thought process by asking sequential questions that build on each response.
  • Few-Shot Examples: Give the AI a few examples of the output you want to provide a clearer direction for its response.
  • Output Formatting: Specify how you want the output structured, like tables or bullet points, for easier digestion.

Claude vs ChatGPT: Which Works Better For This

Both Claude and ChatGPT have their strengths:

  • ChatGPT: Often excels in creative and diverse output but may require more explicit prompts to generate structured cybersecurity responses.
  • Claude: Known for more concise and factual responses, making it a go-to for straightforward inquiries related to cybersecurity practices.

Tips for Getting Consistent Results

  • Contextual Clarity: Always provide enough context to guide the AI without overwhelming it.
  • Be Specific: The more precise your prompt, the more relevant the answer.
  • Iterative Refinement: Don’t hesitate to refine prompts based on the responses you get – learning from AI is part of the process.

Quick Reference: All Prompts in One Place

  • Describe typical indicators of compromise (IOCs) related to phishing attacks.
  • Generate a report on recent vulnerabilities in web applications and suggest mitigation strategies.
  • What are common network attack vectors and how can I secure them?
  • Create a playbook for responding to ransomware attacks.
  • Outline the steps for conducting a security assessment on a cloud service provider.