Findings arrive triaged and ordered by severity, as HTML and JSON reports, so the first hour goes on the real ones rather than on sorting the list.
Raw scanner output is a long list of maybes, and the work of separating a real weakness from a theoretical one usually falls on a team with no hours to spare. Argus Pentest uses the model for two narrow jobs — generating payloads and triaging what comes back — and reports findings ranked by severity, with HTML for a person to read and JSON for whatever you feed next.
The model generates payloads and triages findings.
Model use is text in, text out — never vision.
Findings are reported by severity rather than as a flat list.
HTML reports for reading, JSON for pipelines and tickets.
A failure to authenticate is reported as such, not dressed up as a finding.
It proposes and ranks. The severity list is triage output for a security engineer to act on, in the same spirit as the QA engine never filing a defect on its own authority.
Deep Eye, an open-source engine driven only through its CLI contract — so it can be upgraded or replaced without changing the platform around it.
Yes. Every scan exports JSON alongside the HTML report.
A scripted login hands the scanner real session cookies and a bearer token.
Endpoints found while logging in and crawling become the spec the scanner works from.
Scans run against an explicit allow-list — a target must be added deliberately.
Credentials, scan traffic and reports all stay on your own infrastructure.
See the complete product: problem, features, how it works and deployment.
Request a demo to watch a scan log in to an approved target and work the surface behind the sign-in form.