An autonomous, multi-model AI red team for web apps. Paste a URL you own, prove you're authorized to test it, and watch a team of AI agents reason about your site, test it live with real requests, and report what actually matters.
Not a scanner. The agents decide the attack scenarios — nothing is hardcoded.
Each agent runs on a different model. They reason together in a shared channel — proposing scenarios, probing endpoints, and challenging each other — before a single request touches your site.
Real HTTP requests go out against the target, and the plan changes based on what actually comes back. A header gap becomes a forged-origin follow-up; a 200 on a sensitive path becomes the next lead.
A dedicated judge agent cross-checks the results — confirming real issues, rejecting false positives, and merging duplicates. You get signal, not a scan dump.
Every finding reads as what happened, what it could allow, and how to fix it — with the scenarios the team explored. Export to PDF or JSON when you're done.
Every engagement is gated on proof of ownership and bounded by explicit rules of engagement, and the agents' own outbound requests are hardened so the tool can't be pointed where it shouldn't. Responsible by default isn't a feature we added later — it's the first thing we built.