Member ofNVIDIA Inception Program

Agentic pentesting.

Built for apps made with AI, checked like an attacker would.

Apps from Lovable, Bolt, Cursor and v0, and the startups whose buyer wants a pentest report.

In scope

  • Next.js apps
  • Supabase backends
  • Apps built with AI tools

A repository in, proofs and fixes out.

  1. Grade a public repository, free.
  2. Find what is wrong, with the evidence.
  3. Fix it with a pull request or a prompt to paste.
  4. Retest automatically, to confirm the fix.
  5. Share a signed report anyone can verify.

Starts where you code, lands where you work.

  • In from GitHub, GitLab or Bitbucket.
  • Out to Slack, Linear, Jira or PagerDuty.
  • Back as a fix, in a pull or merge request.
  • GitHub
  • GitLab
  • Bitbucket
  • Slack
  • Linear
  • Jira
  • PagerDuty

A proof you can replay, a fix you can merge.

Each finding arrives with its evidence and its fix, and a retest confirms it, not a line in a scanner’s list.

Find it before
someone else does.