🛠 Security Tool Cheatsheet
Sarah Chen — SOC Analyst & Tool Specialist
Why AI Changes the Game for Threat Intelligence Analysis
In the rapidly evolving landscape of cybersecurity, organizations face an overwhelming volume of threat data. AI tools like ChatGPT and Claude can help security analysts parse through this data efficiently, generate actionable insights, and enhance their situational awareness. This cheatsheet aims to harness these powerful AI capabilities to assist in threat intelligence analysis.
Before You Start: How to Set Context Properly
Setting the appropriate context when using AI tools is crucial. It involves clearly defining your goals, specifying the type of analysis required, and providing relevant background information on the threats being analyzed.
Core Prompts Cheatsheet
What it does: This prompt instructs the AI to extract and summarize critical information from a threat report.
When to use it: Use this prompt when you have a detailed threat report and need a concise overview.
How to customize it: Insert the specific threat intelligence report you wish to analyze.
What it does: The AI will compile information on current ransomware threats along with relevant defensive measures.
When to use it: Use this prompt to stay updated on evolving ransomware threats.
How to customize it: Add context related to your industry or specific threats your organization may face.
What it does: This prompt asks the AI to evaluate a specific incident and theorize on its indicators and motivations.
When to use it: Best used post-incident to gain insight into threat actors’ methodologies.
How to customize it: Specify the company or entity and include relevant links to articles or reports.
What it does: This prompt outlines effective strategies for proactive threat hunting.
When to use it: When establishing a threat-hunting initiative or revisiting existing strategies.
How to customize it: Mention specific environments or tools your team is familiar with.
Weak vs Strong Prompt Examples
Advanced Prompt Techniques
Role Prompting: Assign roles to the AI, such as “Act as a seasoned threat analyst.” This frame helps focus the responses better.
Chain-of-Thought: Instruct the AI to explain its reasoning. For example, “List common attack vectors with explanations for each, and suggest how they can be mitigated.” This guides the AI through a logical process.
Few-Shot Examples: Provide examples of good answers before asking a question, like showing a threat analysis summary before requesting a new one.
Output Formatting: Specify formats when asking for a list. For example, requesting a bullet-point format for clarity.
Claude vs ChatGPT: Which Works Better For This
Both Claude and ChatGPT are effective but may excel in different areas. ChatGPT is known for its structured outputs and coherence, while Claude may provide more comprehensive and fluent narrative responses. Choose based on your specific needs and test both for effectiveness.
Tips for Getting Consistent Results
Context is critical; always provide enough background information. Be specific in your requests, and iteratively refine your prompts based on the AI’s responses to focus on areas needing improvement. Try to break down complex queries into simpler parts for better clarity.
Quick Reference: All Prompts in One Place
- Analyze the threat report: “Analyze the following threat intelligence report…”
- List of ransomware variants: “List the latest ransomware variants…”
- Incident analysis: “Provide an analysis of the recent cyberattack on…”
- Cyber threat hunting strategies: “Generate a list of cyber threat hunting strategies…”