Security review that earns the reviewer's attention
Parlix started from a complaint: every team we knew owned a security scanner, and no team we knew read its output. Not because the engineers were careless — because the tools reported the shape of a bug and left the hard judgement to a human who already had a queue thousands long.
What we're building
Parlix connects to your GitHub or GitLab repositories and runs an agentic review of the code as it exists — not against a rule pack, but against a reconstruction of how data actually moves through your application.
The engine extracts real data flows, learns the frameworks and sanitisers you already use, audits each flow in that context, then validates, verifies and chains what survives. Roughly speaking, most of the pipeline exists to throw work away: the last two stages exist purely to delete findings that cannot be reproduced.
What's left is a short, ranked list of attack paths, each with the evidence that got it there. It is the list a good application-security engineer would hand you after a week with your codebase.
A finding you cannot act on is a bug in the tool
Precision is the product. We would rather miss a real issue than train you to skim past our reports, because a report nobody reads protects nothing.
Context beats pattern matching
The same line of code is a critical injection in one codebase and dead safe in another. Judging that difference requires reading the stack around it, so that is what we do first.
Show the work
Every finding arrives with the flow it came from and the reasoning that verified it. If you cannot check our work, you should not trust it.
Get in touch
Parlix is in private beta. Tell us a little about your stack and we'll set up a scan against one of your repositories and walk you through the results.
You can also find us on GitHub.