Comparisons · Argus Pentest

Self-hosted vs cloud security scanning

Self-hosted vs cloud security scanning: a balanced comparison for Azerbaijani business, grounded in how Argus Pentest works.

Strategic Security Scanning for Enterprise Applications

Organizations today face a critical choice between cloud-based security scanning and self-hosted environments. While cloud tools offer rapid deployment, they often introduce risks regarding data residency and credential exposure. A self-hosted approach provides essential control over sensitive data, ensuring that security assessments, session tokens, and vulnerability reports remain strictly within the organization's own infrastructure, eliminating external SaaS dependencies. As one of the three core engines of the Argus self-hosted AI testing platform, this security module shares a unified runtime, model layer, credential store, and cost ledger with the QA and AI engines. By integrating authenticated dynamic security scanning for enterprise web applications and their APIs, the platform moves beyond surface-level checks to evaluate the actual authenticated surface that real users interact with, providing a more accurate representation of the application's security posture.

Capabilities

Advantages of Self-Hosted Authenticated Scanning

Absolute data sovereignty by keeping all scan data, credentials, and reports on your own private infrastructure.

Elimination of third-party SaaS dependencies, reducing the external attack surface for security operations.

Deep authenticated access via scripted logins that yield session cookies and bearer tokens, allowing the scanner to operate as a real user.

Secure credential management utilizing a shared, encrypted store common to the entire Argus platform.

Architectural flexibility through a CLI-driven open-source engine that can be upgraded or replaced without disrupting the platform.

High-fidelity results by treating authentication failures as environment errors rather than false security findings.

Core Capabilities of the Argus Security Engine

Authenticated Dynamic Scanning

Utilizes a scripted login process to obtain session cookies and bearer tokens, enabling the scanner to penetrate the authenticated surface of web applications and APIs.

Strict Target Allow-Listing

Maintains rigorous security boundaries by requiring targets to be deliberately added to an explicit allow-list before any scanning activity can commence.

Synthesized API Discovery

Automatically seeds a synthesized API specification using endpoints discovered during the login and crawl phases to ensure comprehensive coverage.

AI-Powered Payload Generation

Employs a text-based model layer specifically for payload generation and finding triage, ensuring a streamlined 'text-in, text-out' workflow.

Modular CLI Architecture

Leverages the Deep Eye open-source engine via a CLI contract, allowing for seamless engine upgrades or replacements without touching the platform core.

The Authenticated Scanning Workflow

1Define an explicit allow-list of approved targets to ensure scanning is intentional and authorized.
2Execute a scripted login through the encrypted credential store to acquire necessary session tokens.
3Crawl the application to discover endpoints and seed a synthesized API specification.
4Generate and deploy targeted payloads using the AI model layer for vulnerability detection.
5Analyze results and generate detailed severity-based reports in both HTML and JSON formats.

Frequently Asked Questions

How does authenticated scanning differ from standard unauthenticated scanning?

Standard scanners typically stop at the login page. Authenticated scanning uses scripted logins to obtain session cookies and bearer tokens, allowing the scanner to access and test the internal authenticated surface of the application.

Where is the sensitive scan data and credential information stored?

Because the platform is self-hosted, all scan data, reports, and credentials stay on your own infrastructure, removing the need for external SaaS dependencies.

How does the system handle authentication failures during a scan?

The system applies an 'honest-failure' rule: if a scanner cannot authenticate, it is reported as an environment failure rather than a security finding.

Can the underlying scanning engine be updated or changed?

Yes. The scanner uses the Deep Eye open-source engine driven through a CLI contract, meaning the engine can be upgraded or replaced without modifying the broader platform.

How is AI utilized within the security scanning process?

The AI model is used exclusively for payload generation and the triage of findings. It operates on a text-in, text-out basis and does not utilize vision capabilities.

Secure Your Infrastructure Today

Experience the power of self-hosted, authenticated security scanning with Argus. Contact us to learn more.

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