Antonio Firmiano · Founder & CEO at Arvion
We build machine engineers for product security.
A scanner is paid by the finding, so it can never afford to dismiss one.
That is how a team ends up with thousands of alerts, a severity column nobody trusts, and no answer to the only question that actually matters: which of these can be reached, and what happens if it is?
Arvion is built the other way round. Instead of software you operate, you get engineers you employ — machines that read the code, follow the path, and hand you the fix as a pull request.
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| They read your application code, your dependencies, your cloud and the agents you have started running. | Findings are ranked by a traced path to something that matters — not by a number on a severity chart. | The fix arrives as a pull request against your repo. You merge it, or you don't. That call stays yours. |
An engineer may not claim more than it proved — nor, by staying silent, let you believe you are safe when you are not.
— the First Law, arvion.ai
Honesty is the feature, not the disclaimer. Every finding lands in one of three places, and we say which:
- Acted on — reachable, proven, fix written and PR'd.
- Ruled out — a real vulnerability on a path nothing can reach, filed with the reasoning.
- Assumed — we could not prove it either way, and we tell you that instead of picking a comfortable answer.
- What "exploitable" should actually mean, and why severity scores are a poor stand-in for it.
- Reachability analysis — call graphs, taint, and where static reasoning honestly runs out.
- Security for agentic AI: what changes when the thing reading your repo can also act on it.
- Remediation that ships — why a fix nobody merges is not a fix.
- Building a company where the machines do the work and the human keeps the merge button.
