Our hackbots
- Re-run every original attack against the patched build
- Keep the regression checks running on each release
AI era service
We don’t just report it. We help fix it.
We fix what we find. Researchers write the patches, open pull requests, and retest until it holds.
Merged fixes and a clean retest letter.
Days, not weeks
OWASP ASVS, CVSS 3.1
Most AI-built apps don’t have a security engineer on the team. A report full of findings only helps if someone can turn it into working fixes.
In a fix sprint, the researchers who found the issues write the patches in your framework and conventions, open pull requests, and retest until each fix holds.
Delivered as pull requests, written in your framework’s idioms.
Policies, middleware and tests that fail if the issue comes back.
Fix instructions your team can hand to its AI coding assistant, reviewed by us after.
Hackbots for breadth. Hackers for depth. Every lead is proven or discarded by a researcher before it reaches your report.
Five steps from the first call to the retest. You work directly with the researchers testing your systems at every one of them.
We agree on assets, test accounts and rules of engagement, then send a fixed price.
Hackbots map every host, route and role. A researcher builds the threat model.
Hackbots run the matrix at scale while researchers test by hand and take each lead to the end.
Verified issues only, each with a CVSS 3.1 vector, replayable proof and a patch.
We confirm each fix and issue an updated report and attestation letter.
A fixed-scope review for apps built with AI app builders and coding assistants, before you launch, raise or sign your first big customer.
Access control, account takeover, customer isolation and business logic in the product your users sign in to.
For teams that ship every week, often with AI assistants: agents test each release and a researcher reviews what changed.
No obligation and no sales sequence. A senior researcher reads every request and replies within one working day.