Use cases · Argus Pentest

Triage scanner findings

Triage scanner findings with Argus Pentest: a practical, on-prem approach built for Azerbaijani teams.

Advanced Authenticated Security Scanning and Triage

Argus Pentest is a self-hosted, authenticated dynamic security scanning solution engineered for enterprise web applications and their associated APIs. As one of the three core engines of the Argus AI testing platform, it operates within a unified deployment alongside QA and AI engines, sharing a single console, sign-in process, and an encrypted credential store. By utilizing a scripted login process to obtain session cookies and bearer tokens, the system ensures that security scans operate as real logged-in users, allowing teams to penetrate the authenticated surface of an application rather than being stopped at the login page. The platform prioritizes precision and data sovereignty, utilizing the Deep Eye open-source engine via a CLI contract for maximum flexibility. To eliminate the noise typically associated with automated scanning, Argus Pentest employs a text-based AI model for payload generation and finding triage. Every identified vulnerability is rigorously re-verified against the live target; any finding that cannot be reproduced is quarantined and excluded from severity totals. This ensures that security teams focus on genuine risks while maintaining full control over their data on their own infrastructure.

Capabilities

Key Advantages of Argus Pentest

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Deep visibility into authenticated application surfaces via synthesized API mapping

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Significant noise reduction through automated re-verification of every finding

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Complete data sovereignty with a self-hosted architecture and no SaaS dependencies

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Elimination of false positives by refusing scans against authentication walls

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Streamlined credential management via a shared encrypted store with QA engines

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Future-proof architecture allowing the scanning engine to be upgraded or replaced without platform disruption

Core Capabilities

Authenticated Scanning

Uses a scripted login via the QA engine's encrypted store to obtain session cookies and bearer tokens, ensuring the scanner operates as a real logged-in user.

AI-Powered Triage

Utilizes a text-based AI model specifically for payload generation and finding triage to refine results.

Synthesized API Mapping

Endpoints discovered during login and crawling seed a synthesized API specification to reach deep authenticated surfaces.

Strict Target Control

Scans are executed only against an explicit allow-list of approved targets to ensure controlled testing.

Automated Quarantine

Findings are re-checked against live targets; those that cannot be reproduced are quarantined and excluded from severity totals.

The Triage Process

1Add the target application to the explicit allow-list within the Argus console.
2Execute a scripted login using the encrypted credential store to secure session tokens.
3Crawl the application to synthesize an API specification and map the authenticated surface.
4Run the Deep Eye engine to identify potential vulnerabilities using AI-generated payloads.
5Re-verify every finding against the live target to filter out non-reproducible results.
6Review the final severity-based reports in HTML or JSON format.

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. If a target requires a login, the scan is refused rather than run against the auth wall to prevent misreading repeated error responses as exploits.

Where is the scan data stored and how is it secured?

The platform is entirely self-hosted, meaning all scan data, credentials, and reports remain on your own infrastructure. This removes external SaaS dependencies and ensures your security data stays within your control.

What happens to findings that cannot be reproduced?

Findings that cannot be stood up—such as those where the endpoint was never reached or the response was uniform—are quarantined. While they are kept for record, they are excluded from the final severity totals to prevent skewed reporting.

Can the scanning engine be updated or replaced?

Yes. The platform utilizes Deep Eye, an open-source engine driven through a CLI contract. This design allows the engine to be upgraded or replaced entirely without requiring changes to the broader Argus platform.

How does the AI model contribute to 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.

Secure Your Enterprise Applications

Deploy Argus Pentest on your own infrastructure to start triaging authenticated scanner findings with precision.

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