Autonomous engagements that run isolated, then leave no trace.
A real pentest happens maybe once a quarter, costs a fortune, and is stale the moment someone merges. Static scanners run on every push, but they read your source and hand you a pile of maybes — most of which were never reachable to begin with. Neither one answers the question you actually care about: right now, can someone break into my app?
No agents to install, no targets to configure, no scope to hand-write. You give it a repo; it does the rest.
Sign in and grant access. We only ever touch repos you already have access to — which is also how we know the attack is authorized.
Choose the app you want tested. If it ships a docker-compose.yml or a Dockerfile, it's ready to go.
The platform stands your app up as a real running instance in an isolated sandbox, then points an autonomous attack engine at the live target — the way an attacker would, not by reading your code.
Every move streams to your dashboard as it happens. When it's done you get a report of what it actually exploited, and the sandbox is destroyed.
Because it attacks a running copy of your app instead of grepping source, every finding is something it actually pulled off — with the steps to reproduce it. No theoretical CVE noise, no "this might be exploitable if." If it's in your report, it happened.
Dumped data straight out of a login form.
Forged an admin session with a tampered JWT.
Slipped a manipulated order past checkout.
From live runs against OWASP Juice Shop.
You're letting an AI run real exploits against real code. That only works if it can't escape, can't be pointed anywhere it shouldn't, and can't run up an unbounded bill.
The attack engine streams a live feed of what it's doing — the phase it's in, every tool call it makes, each finding the moment it lands, and exactly what the run is costing you. You're never staring at a spinner waiting for a PDF. You watch it work.
Connect GitHub, pick a repo, and run your first engagement.