1. Chain-of-Thought Prompting
Forcing LLMs to produce step-by-step reasoning before delivering a final verdict dramatically reduces logic errors. Include explicit instructions such as: "Think step by step in XML tags before providing the output."
2. Role Framing & Persona Definition
Establish exact expert parameters to calibrate tone, vocabulary, and depth. Contrast standard queries with calibrated role prompting:
Role: Senior Principal Cybersecurity Auditor.
Task: Review the following AWS IAM policy for privilege escalation vulnerabilities.
Output format: Markdown table with Severity, Resource, Vector, and Remediated JSON snippet.
Task: Review the following AWS IAM policy for privilege escalation vulnerabilities.
Output format: Markdown table with Severity, Resource, Vector, and Remediated JSON snippet.
3. Few-Shot Contextual Formatting
Provide two to three clean examples directly inside the system message to enforce strict output schemas without depending solely on instruction descriptions.