Produce security-testing evidence for an audit
Produce security-testing evidence for an audit with Argus Pentest: a practical, on-prem approach built for Azerbaijani teams.
Generate Accurate Security-Testing Evidence for Compliance Audits
Argus Pentest provides a self-hosted, authenticated dynamic security scanning solution specifically engineered to produce reliable, high-fidelity evidence for enterprise web applications and their APIs. Unlike traditional scanners that often stop at the login page, Argus Pentest operates as a real logged-in user by utilizing scripted logins to secure session cookies and bearer tokens. This ensures that security audits reflect the actual authenticated surface of your application, providing a comprehensive view of the vulnerabilities that exist behind the authentication wall. As one of the three core engines of the Argus AI testing platform, the pentest engine shares a single deployment, console, and sign-in with the QA and AI engines. This integrated architecture allows for a shared encrypted credential store and unified model settings, streamlining the security testing workflow. By combining an open-source scanning engine with AI-driven payload generation and a strict verification process, Argus Pentest transforms raw scan data into validated evidence suitable for rigorous compliance audits.
Why Use Argus Pentest for Audit Evidence
Eliminate false positives through mandatory live re-checking of every finding before it is counted toward severity totals.
Ensure total data sovereignty with a fully self-hosted deployment that keeps scan data and credentials on your own infrastructure.
Avoid misleading 'clean' reports by marking scans that fail to exercise the target as inconclusive rather than secure.
Maintain strict governance and security via an explicit allow-list, ensuring only deliberately added targets are scanned.
Securely manage sensitive session cookies and bearer tokens through a centralized, encrypted credential store.
Prevent 'noise' in reports by refusing unauthenticated scans on targets marked as requiring login, avoiding the misinterpretation of auth-wall errors as exploits.
Core Capabilities
Authenticated Scanning
Utilizes scripted logins to operate as a real user, reaching the authenticated surface of web applications and APIs.
Synthesized API Specs
Endpoints discovered during login and crawling seed a synthesized API specification to ensure comprehensive coverage.
AI-Driven Payload Generation
Integrates a model specifically for payload generation and finding triage to enhance testing depth.
Modular Scanner Architecture
Driven by the Deep Eye open-source engine via CLI, allowing for upgrades or replacement without platform disruption.
Detailed Audit Reporting
Findings are categorized by severity and exported in HTML and JSON formats for auditor review.
The Evidence Generation Process
Frequently Asked Questions
How does the system handle authentication failures?
A scanner that cannot authenticate is treated as an environment failure rather than a security finding. Scans that reach the target but stop at the authentication wall are marked as inconclusive to avoid reporting a false 'clean' status.
Where is the scan data stored and managed?
The platform is entirely self-hosted. All scan data, credentials, and reports remain on your own infrastructure, eliminating external SaaS dependencies and ensuring data privacy.
How are false positives and invalid findings managed?
Every finding is re-checked against the live target. If a finding cannot be reproduced—such as an unreachable endpoint or a uniform response—it is quarantined. Quarantined findings are kept for record but excluded from severity totals.
Can the system perform unauthenticated scans on protected targets?
No. If a target is marked as sitting behind a login, the system refuses to run an unauthenticated scan. This prevents the scanner from misreading repeated error responses from the authentication wall as multiple exploits.
How is AI utilized within the scanning process?
The AI model is used exclusively for payload generation and finding triage. It operates on a text-in, text-out basis and does not utilize vision capabilities.
Ready to secure your audit process?
Deploy Argus Pentest on your infrastructure and start generating verified security evidence today.
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