🤖 AI Prompts Cheatsheet
Daniel Osei — AI-Assisted Security Engineer
Why AI Changes the Game for Cybersecurity Analysts
AI tools are transforming the way cybersecurity analysts approach their daily tasks. With the capability of processing vast amounts of data quickly and offering insights that would take humans much longer to derive, these tools have become indispensable in the field. Utilizing AI can enhance threat detection, automate repetitive tasks, and provide intelligence that informs critical decision-making.
Before You Start: How to Set Context Properly
When using AI tools, setting the right context is crucial. This means specifying the task, providing any necessary background information, and clearly indicating what outcomes you expect. A well-formed prompt will significantly improve the quality of the AI’s response.
Core Prompts Cheatsheet
What it does: Provides a comprehensive threat report based on specified vulnerabilities.
When to use it: When you need detailed insights on vulnerabilities affecting your environment.
How to customize: Replace the placeholder with the actual vulnerabilities you want to investigate.
What it does: Analyzes log files for irregularities.
When to use it: After collecting logs from any monitored system.
How to customize: Attach the log file or provide specific logs for examination.
What it does: Generates a tailored incident response plan.
When to use it: When preparing for potential ransomware threats.
How to customize: Insert specific details relating to the attack.
What it does: Drafts a security policy tailored for remote work.
When to use it: To formalize remote work security measures.
How to customize: Replace the placeholder with your key points.
What it does: Provides insights into the latest trends affecting cybersecurity.
When to use it: For team briefings or strategic planning.
How to customize: Specify an area of focus if needed.
Weak vs Strong Prompt Examples
Advanced Prompt Techniques
To further enhance your interactions with AI tools, consider these techniques:
- Role Prompting: Establish a role for the AI to assume, e.g., “Act as a cybersecurity expert and provide insights into…”
- Chain-of-Thought: Request the AI to think through a process step-by-step, such as, “Walk me through the steps of conducting a security assessment…”
- Few-Shot Examples: Provide examples to guide the AI’s responses. For instance, “In the past, I’ve asked for X and received Y. Today, I’m looking for Z.” This helps the model understand the context better.
- Output Formatting: Specify how you want the output formatted, such as, “List the top three security threats in bullet format.” This helps in quickly digesting the information.
Claude vs ChatGPT: Which Works Better For This
Both Claude and ChatGPT offer excellent capabilities in AI-driven text generation. Claude shines in its interpretative abilities and logical structuring, making it great for incident responses or technical documentation. ChatGPT, with its extensive training on conversational data, is better suited for brainstorming sessions and informal queries. Depending on the task at hand, choosing the right model can maximize efficiency.
Tips for Getting Consistent Results
To achieve the best results from AI tools:
- Be specific in your prompts.
- Set the context clearly to eliminate ambiguity.
- Refine your prompts iteratively; don’t hesitate to tweak them to improve output.
- Use feedback from previous interactions to inform future prompts.
Quick Reference: All Prompts in One Place
- Generate a threat report…
- Analyze the attached log file…
- Suggest an incident response plan…
- Create a policy for secure remote work…
- Summarize the latest cybersecurity trends…