mid-water — the products, one reader per thing you run · −200 m → −1 000 m
Four readers — one rule: prove it, or say nothing.
One platform, four readers — one for each kind of AI in your company: models you download, models someone trained further, code your AI writes, and agents that act for you. Each block below says what the reader looks at, what it catches, and — honestly — how finished it is today.
In one breathFour readers, one per thing you run. Each proves what it claims — or says nothing at all.
The evaluator — what a model really is
early · works on popular familiesKnow what a downloaded model really is — before you trust it.
It reads the model straight from the file and reports, in plain grades, what it tends to do and exactly what a stranger's changes did to it. It answers "what is this?" — never "is it safe?" (that's the curator's job, below). And when it can't see something clearly, it says so plainly instead of guessing.
browse the public model atlas — ardora.vulcora.se →The curator — audits modified models
our strongest · try it todayFind the hidden backdoor off-the-shelf scanners miss — and cut it out.
Our strongest product. It reads a modified model straight from the file — without ever making it say anything harmful — and finds what a stranger's extra training really did, including what it hid. You get signed proof you can re-check yourself, plus an optional repair with an undo button. You can try it today; the always-on version is coming next.
the trust product — protora.vulcora.se →The immune system — code security with proof
real · still growingCatch the exploit your scanner can't prove — even in AI-written code.
It checks code the way an attacker would. Every real hole comes with a tiny program that shows the attack working — no vague "maybe" alerts. After you fix it, that same proof runs again, and the issue closes only when the attack stops working. Strong on the languages it supports today, honest about the rest.
The nervous system — agent accountability
we use it daily · not for sale yetKnow your AI agents kept their word.
Every agent states what it's about to do before it acts; the outcome is then graded against that promise, and both are kept in a record nobody can edit. Humans and AI agents, held to the same standard. We run our own company on it today — it's not for sale yet, and we won't pretend otherwise.
start with one model — send it in, get back a signed reading · legend@vulcora.se
Layer 4: the discipline — how attacks get in, and how we keep score in public.
Below the products lies the method: the ways a backdoor gets planted, the public tests we grade ourselves on, and how we watch the whole world of downloadable AI.
Descend to Layer 4↓ −4 000 mUp to Layer 2↑ −200 m