What we set out to build
To find genuine security findings at scale, against live programs with real payouts, rather than practising on toy targets.
What was built
- An orchestrated scanning stack running against real bounty program scopes
- Workflow-quality feedback captured as the scans run, so the harness improves with use
What it achieves
- Operational against live programs
- Findings are triaged for reality before submission, because a false positive costs reputation with a program
The stack
Python, multi-agent orchestration.
Common questions
How was this built?
This was built through Colabs, our sister company. A founder brought the idea and the domain knowledge, Colabs brought the team, the founder funded the build with a monthly subscription, and they hold equity in the company that resulted. We label every case study, because a studio that publishes its prices and argues the other side of its own comparisons has to be equally precise about its own portfolio.
What state is it in?
Operational. We state that plainly rather than describing everything as production: several things here are deliberately gated, and the reason is usually evidence rather than a missing feature.
Can you build something like this for us?
That is the point of publishing it. The same patterns are in the catalogue at published prices, and you can scope your own version on the plain-English page without contacting us first.
Where to next
If something here is close to what you need, the same patterns are in the catalogue at published prices, or you can describe your version in plain English and get it scoped and priced without talking to anyone.