Many bug bounty programs are built on the assumption that researchers understand their findings.
AI-assisted security research has changed that with tools that scan APIs, identify behavioral patterns, and generate vulnerability chains even for researchers who may not have the technical depth to verify, reproduce, or defend what the tool surfaces. The finding can be real and the report can still be broken.
This creates a new set of communication problem that most programs haven’t considered.
Our latest Discernible Experience scenario asks participants to work through a few tough questions:
1) How do you engage a researcher who found something real but can’t explain it?
2) What does a researcher become entitled to know when their submission intersects with an active investigation?
These tensions happen all the time now.
Subscribe to join: https://discernibleinc.com/experience