SCAN INITIATED · 03:17:42 UTC · ENGAGEMENT 4471-A

We don't tell you what
might be wrong.
We prove what is.

We read your code the way an attacker reads it, then we try the door. You get the exploits we could actually reproduce — with the fix — and nothing else.

A pen test that runs
on every push.
Confirmed breaches only.

We attack your code the way a real intruder would and show you only what we could actually break into — with the fix. Not a flag, a reproduced exploit.

$100 after you connect — fully refunded unless we confirm a real exploit.
Selling into enterprise? Talk to us →
ArgusRed by Cosine — a model lab, not a wrapper RUNS IN EU
argusred · api/auth/login.handler
scanning 1,204 files…
!flagged possible auth bypass — login.handler:42
reproducing in isolated sandbox… crafting request…
CONFIRMED exploitable — forged token, 200 OK
+fix opened → PR #318 · tests pass
✓ 1 confirmed · 0 false alarms · 1 fix ready
Built by Cosine — backed & featured by
01 / See it run

A real scan, start to finish.

argusred · recorded scan · 1:26
02 / Why now

247 maybe-problems 1 confirmed hole

A scanner that flags hundreds of unproven "maybes" is a scanner your team has already muted — and the real one slips through with the noise. A hundred eyes that can't tell you which thing to fear are the reason you stopped looking. ArgusRed reports only what it could exploit.

"this might be vulnerable" "here is the request and the response"

A scanner answers maybe. A real pen test answers yes — and here is exactly how. That difference is the entire product. Every finding ArgusRed shows you was reproduced against a sandbox mirroring your stack — and everything it couldn't prove, it throws away before it reaches you.

03 / Why ArgusRed is different

The receipt, not a verdict.

Confirmed, not guessed

A reproduced exploit

We don't surface a finding with a confidence score. We stand up an isolated sandbox with your dependencies, send the request a real attacker would, and show you the response your code gave back.

247 maybe-problems 1 confirmed hole
Fixed, not flagged

A fix to merge

Each confirmed hole arrives with a pull request that patches it and passes your tests. Review it, merge it, and we re-attack to confirm it's actually closed.

here's a list, good luck here's the fix
By Cosine · runs in EU

A model lab built it

Built on a model Cosine post-trained, not an off-the-shelf API behind a prompt. Your source and the sandbox stay in the EU. In a "is this a wrapper?" market, the lab is the proof.

a GPT wrapper by Cosine
04 / How it works

Three steps. No security team required.

STEP 01

Connect your repo

One click with GitHub. Scoped access to the single repo you choose. No setup, no config, no procurement.

STEP 02

We try the door

The agent hunts for a way in, then reproduces each candidate in a sandbox that mirrors your stack — keeping only what it could actually exploit.

STEP 03

You get the receipt

A pen-test-grade report: the exploit, the request, the response — and a pull request that closes it and passes your tests.

05 / The offer

No confirmed exploit, no charge.

[ $100 / repo — refunded unless we confirm a real exploit ]

Connect a repo and we attack it. If we can't reproduce a single real exploit, you pay nothing. When we can, you get the proof and the fix — and the report you can hand to a customer, an investor, or an auditor.

Scan my repo →
scoped GitHub access code stays in the EU no confirmed exploit, no charge
06 / Why you can trust it

Built by a model lab — not a wrapper.

Our own model

Tuned to attack

ArgusRed runs on a security-tuned model Cosine post-trained — built to think like an adversary, not an off-the-shelf API behind a prompt.

European by default

Stays in the UK & EU

Your source and the sandbox that probes it run on UK and EU servers. A plain-language data-handling answer ships with every report.

By the Cosine lab

Real provenance

From the team behind the Cosine coding agent — the engine thousands of developers already trust to read, write, and fix real code.

Find out what an attacker could actually do.

A small team with a big customer asking about security? This is built for you.