An AI penetration test that proves every finding.
Not a scan that hands you a list of maybes. An autonomous agent attacks your app the way a human would — and files a finding only when it has a working exploit to prove it. Then emails you the report you can forward to whoever asked.
No proof, no finding.
No scoping call, no SOW, no six-week queue. Verify you own the domain and the report is normally in your inbox the same day.
A scanner tells you what might be wrong.
We prove what is.
Automated scanners have been around for twenty years. They crawl your URLs and match responses against a list of known signatures, then hand you the results and the homework. That's a useful thing. It is not a penetration test — and the vendors say so themselves, in their own documentation.
| Legacy vulnerability scanner | Pentest Proof | |
|---|---|---|
| What you get | A list of possible issues, each with a confidence rating | Findings with a working exploit attached |
| Who validates it | You do — or the security hire you don't have | The agent. No proof, no finding. |
| How it tests | Crawls URLs, matches known signatures | Drives a browser, chains attacks, writes custom exploits |
| Logic & access-control bugs | Structurally can't — needs intent, not patterns | The whole reason to use an agent |
| You receive | A dashboard to operate, tune and interpret | One dated PDF you forward and move on |
| Price | Per asset, per seat, per year — and it renews | $500. One target. Once. |
“The automated tool produces vulnerability scan reports. If you're after a pentest report, you may need to commission a manual penetration test.”
If the person blocking your deal asked for a penetration test, a scan report is the wrong artifact — and you find that out at the worst possible moment.
The bugs a scanner can't see
Some vulnerabilities aren't patterns. They're mistakes about what your app should allow — and finding them means reasoning about intent, not matching a signature. This is the gap between a scan and a pentest.
Broken access control & IDOR
#1 on the OWASP Top 10, and the class scanners are worst at. An IDOR isn't a malformed response — it's a perfectly valid response to a request the user should never have been allowed to make. No signature can spot that. You have to know what the app is meant to permit.
Business logic abuse
Skipping a payment step. Replaying a coupon. Racing two withdrawals against one balance. There is no pattern to match for “this workflow can be abused” — it takes understanding what the workflow is for.
Chained, multi-step exploits
The real breaches are rarely one bug. They're a verbose error leaking a user ID, which unlocks an unprotected endpoint, which exposes an admin token. A scanner reports three low-severity notes. An attacker reports a breach.
So we give the agent an attacker's toolkit
It works the way a human tester does — probe, reassess, try something else — for up to 45 minutes per target, then writes up only what it actually managed to exploit.
- Intercepting proxy
- Sees, replays and mutates every request — like a human in Burp.
- A real browser
- Executes your JavaScript, so it finds what needs a rendered DOM.
- Custom exploit runtime
- Writes and runs a bespoke exploit for your app, not a payload off a list.
- Isolated sandbox
- Contained network. Nothing is installed anywhere near your infrastructure.
One document. Forward it and move on.
A prospect sent you a security questionnaire. Your investor asked if you've been tested. You need one artifact that answers them — not a dashboard you have to operate and interpret.
Every test ends in a dated, branded PDF. Each finding carries a CVSS score, the exact steps to reproduce it, the proof-of-concept that demonstrates it, and what to do about it. Most severe first.
acme.example.com · tested 12 Mar 2026 · 3 findings
- HighIDOR — read any user's invoiceCVSS 8.2✓Proof-of-concept included
- HighReflected XSS in /searchCVSS 7.4✓Proof-of-concept included
- MediumCoupon replay via race conditionCVSS 5.9✓Proof-of-concept included
Illustrative sample — your report reflects your app.
Three steps. That's it.
Tell us who you are
Your name and email — that's it. No lengthy onboarding, no sales call.
Point us at your app
Give us the URL of the website or service you want tested.
Pay $500, we test
Our AI agent probes your app for vulnerabilities and emails you the report.
And all the ordinary things, too
The classes above are where an agent earns its keep. But it still sweeps everything a good scanner would, across the OWASP Top 10 and beyond — just with an exploit attached to whatever it finds.
- ✓Injection (SQLi, command, template)
- ✓Broken authentication & sessions
- ✓Cross-site scripting (XSS)
- ✓Server-side flaws (SSRF, XXE, deserialization)
- ✓Security misconfiguration
- ✓Sensitive data exposure
Find your bugs before attackers do.
$500 flat. One target. Report the same day.
Get your proof for $500 →