🤖 AI Prompts Cheatsheet
Daniel Osei — AI-Assisted Security Engineer
Why AI Changes the Game for Cybersecurity Analysis
In the ever-evolving landscape of cybersecurity, AI tools have emerged as essential resources. They assist security analysts in identifying vulnerabilities, automating responses, and enhancing threat detection. However, to leverage these tools effectively, it’s crucial to craft precise prompts that yield actionable insights.
Before You Start: How to Set Context Properly
The success of AI interactions depends heavily on providing context. Begin by specifying the role the AI should play (e.g., cybersecurity analyst, pen tester) and what information or format you expect in response. Setting the stage leads to more relevant and tailored outputs.
Core Prompts Cheatsheet
What it does: Provides a security analysis and risk assessment based on specified company details. Use this when assessing potential clients or internal companies.
What it does: Yields specific vulnerabilities relevant to certain technologies. This is useful for vulnerability assessments and penetration testing.
What it does: Drafts an incident response plan for specific scenarios. It’s beneficial when planning organizational responses to incidents.
What it does: Provides insights into pen testing procedures and tools. Essential for pen testers looking to refine their approach to new application types.
What it does: Outlines security best practices for cloud services. Use this to ensure compliance and security in cloud deployments.
What it does: Helps recognize phishing tactics and improve awareness. Vital for training and improving organizational security posture.
What it does: Provides a structured outline for employee training. Important for IT admins to enhance workplace security culture.
What it does: Keeps analysts updated on emerging threats. Useful for staying ahead of the threat landscape.
What it does: Offers strategies for managing personal devices at work. Critical for IT admins overseeing mobile device management.
Weak vs Strong Prompt Examples
Advanced Prompt Techniques
When crafting prompts, consider implementing these techniques:
- Role Prompting: Define the role of the AI to focus responses. E.g., “You are a cybersecurity consultant…”.
- Chain-of-Thought: Encourage the AI to think through its reasoning. E.g., “Explain your reasoning step by step for securing a network.”.
- Few-shot Examples: Provide examples of what you want as context. E.g., “Here are some good responses: [example]. Now generate new insights for…”
- Output Formatting: Specify the format you want the responses in. E.g., “List in bullet points, include explanations.”
Claude vs ChatGPT: Which Works Better For This
While both Claude and ChatGPT have their strengths, ChatGPT tends to perform better in conversational contexts and complex queries, while Claude excels in summarizing information succinctly. Consider experimenting with both for different types of tasks and see which meets your specific needs better.
Tips for Getting Consistent Results
Consistency in output can be improved with these strategies:
- Context Setting: Always start your prompt by establishing who or what the AI should be.
- Specificity: The more detailed your prompt, the better the response. Instead of vague prompts, focus on the exact information you need.
- Iterative Refinement: Don’t hesitate to refine the prompt based on initial responses; learn from how the AI interprets your queries.
Quick Reference: All Prompts in One Place
- Analyze the security posture…
- Generate a list of the top 10 OWASP vulnerabilities…
- Outline a comprehensive incident response plan…
- Suggest tools for penetration testing…
- Explain the steps to secure a cloud environment…
- Identify the signs of a potential phishing attack…
- Draft a security awareness training outline…
- What are the latest trends in cybersecurity threats…
- List best practices for securing a BYOD environment…