Exploit Context: Real Bugs as Teachers

Why Real Exploits Matter

An AI auditor without exploit context is like a security guard who has never seen a break-in. They know the theory but cannot recognize an actual attack when they see one.

Real exploit examples do three things for your auditor:

1. Pattern recognition: The AI learns what vulnerable code actually looks like (not just theoretical patterns)
2. Impact understanding: Real exploits show concrete damage amounts, not hypothetical risks
3. False positive reduction: When the AI has seen real bugs, it is less likely to flag safe code as vulnerable