Solutions · Argus Pentest

Authenticated penetration testing for Government

Authenticated penetration testing for government. Public bodies require on-premise systems so citizen data never leaves the country.

Secure, On-Premise Penetration Testing for Public Institutions

Allmaz provides government bodies and public institutions with advanced authenticated dynamic security scanning designed specifically for enterprise web applications and their associated APIs. By deploying as a self-hosted platform, we ensure that sensitive citizen data, encrypted credentials, and security reports remain entirely within your own infrastructure. This architecture maintains strict data sovereignty and eliminates the risks associated with external SaaS dependencies, providing a controlled environment for critical vulnerability management. As one of the three core engines of the Argus self-hosted AI testing platform, this security scanner operates within a unified deployment alongside QA and AI engines. This integration allows for a single console and sign-in experience while sharing a secure, encrypted credential store and consistent model settings. By focusing on authenticated surfaces, the system moves beyond the login page to identify vulnerabilities that traditional scanners miss, ensuring a comprehensive security posture for high-stakes public digital services.

Capabilities

Addressing Government Security Challenges

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Guaranteed data sovereignty through full on-premise deployment with no external SaaS dependency

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Deep visibility into authenticated surfaces by simulating real logged-in users via session cookies and bearer tokens

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Significant noise reduction through automated re-verification of every finding against the live target

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Strict operational control using explicit allow-lists to ensure only approved targets are scanned

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Transparent audit trails and compliance reporting via detailed severity-based HTML and JSON reports

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High reliability through 'honest-failure' logic that distinguishes environment issues from security findings

Enterprise-Grade Security Capabilities

Authenticated Scanning

Utilizes a scripted login through an encrypted credential store to obtain session cookies and bearer tokens, allowing the scanner to operate as a real logged-in user.

Synthesized API Discovery

Endpoints discovered during login and crawling seed a synthesized API spec, ensuring the scan reaches the internal authenticated surface.

Intelligent Payload Generation

Integrates an AI model specifically for payload generation and finding triage, operating on a text-in, text-out basis.

Honest-Failure Logic

Scans that cannot authenticate are marked as environment failures or inconclusive rather than being misreported as 'clean' or 'secure'.

Modular Engine Architecture

Powered by Deep Eye, an open-source engine driven via CLI, allowing for upgrades or replacement without impacting the broader platform.

The Authenticated Testing Process

1Deploy the self-hosted Argus platform within your secure government infrastructure.
2Define an explicit allow-list of approved targets to be scanned.
3Configure credentials in the encrypted store to enable scripted login via the QA engine.
4Execute the scan to discover endpoints and synthesize an API specification for the authenticated surface.
5The system generates payloads and triages findings, re-checking every result against the live target to eliminate false positives.
6Review final security postures through severity-based HTML and JSON reports.

Frequently Asked Questions

How is citizen data protected during the scanning process?

The platform is entirely self-hosted. All scan data, credentials, and reports stay on your own infrastructure with no external SaaS dependency, ensuring full data sovereignty.

How does the system handle false positives and noise?

Every finding is re-checked against the live target before being counted. If a finding cannot be reproduced—such as an unreachable endpoint or a uniform response—it is quarantined and excluded from severity totals.

What happens if the scanner cannot get past the login page?

A target marked as requiring login cannot be scanned unauthenticated. If authentication fails, the scan is marked as inconclusive or an environment failure rather than being reported as 'clean,' preventing the misinterpretation of auth-wall errors as exploits.

How does the AI model contribute to the security scan?

The AI model is used exclusively for payload generation and finding triage. It operates on a strict 'text in, text out' basis and does not utilize vision capabilities.

Can the scanning engine be updated or replaced?

Yes. The scanner uses Deep Eye, an open-source engine driven through a CLI contract. This modular architecture allows the engine to be upgraded or replaced without affecting the rest of the platform.

Secure Your Public Infrastructure

Contact Allmaz to implement authenticated, on-premise security scanning for your government applications.

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