Lesson 8: LLMs for Code Vulnerability Discovery
Large language models (LLMs) like Claude can read code and identify vulnerability patterns — much faster than manual review. Security researchers and Bug Bounty teams use LLMs as a 'first-pass' assistant to scan before deep analysis.
Asking an AI to check if your code is secure is like asking an experienced manager to read your work before you submit it — they won't catch everything, but they'll catch a lot.
- LLM Security Review
- Using a large language model to analyze code and automatically detect vulnerability patterns, before a deep manual review
- Prompt Engineering
- The craft of phrasing questions and instructions to an LLM so that it produces accurate, structured, and actionable responses
- False Positive
- When a security tool (or LLM) reports a vulnerability that doesn't actually exist — causing people to waste time investigating non-real findings
- Security Audit
- A systematic review of code, infrastructure, or processes to find security weaknesses — can be manual, automated, or a combination of both
