Comparisons · Argus Pentest

Continuous scanning vs an annual penetration test

Continuous scanning vs an annual penetration test: a balanced comparison for Azerbaijani business, grounded in how Argus Pentest works.

Continuous Scanning vs. Annual Penetration Testing

Organizations often face a strategic choice between the deep, point-in-time analysis of an annual penetration test and the persistent vigilance of continuous scanning. While traditional manual tests provide a comprehensive snapshot of a specific moment, they often leave security gaps as new code is deployed. Continuous authenticated scanning bridges this gap, ensuring that vulnerabilities in enterprise web applications and APIs are identified and remediated as they emerge, rather than waiting for the next audit cycle. As one of the three core engines of the Argus self-hosted AI testing platform, this security scanner shares a unified runtime, model layer, credential store, and cost ledger with the QA and AI engines. By integrating authenticated dynamic security scanning directly into the infrastructure, enterprises can maintain a constant security posture. This approach transforms security from a periodic event into a continuous process, providing the visibility needed to protect complex authenticated surfaces in real-time.

Capabilities

The Advantages of Authenticated Security Scanning

Persistent visibility into the authenticated attack surface, reaching beyond the login page

Complete data sovereignty by keeping all scan data, credentials, and reports on your own infrastructure

Elimination of external SaaS dependencies through a fully self-hosted deployment model

Automated discovery of API endpoints during login and crawl to seed synthesized API specifications

Seamless access management via integration with an encrypted credential store for scripted logins

Rapid identification of critical vulnerabilities between annual audits to reduce the window of exposure

The Argus Security Scanning Architecture

Authenticated Access

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

Synthesized API Specs

Endpoints discovered during the login and crawl seed a synthesized specification, ensuring the scan reaches the deep authenticated surface.

AI-Driven Payloads

Utilizes a dedicated model layer for payload generation and finding triage, employing a text-in, text-out approach without vision requirements.

Modular Engine Architecture

Powered by Deep Eye, an open-source engine driven via CLI contract, allowing the core scanner to be upgraded or replaced without touching the platform.

Strict Target Control

Scans are executed exclusively against an explicit allow-list of approved targets; targets must be added deliberately before scanning can occur.

The Scanning Workflow

1Define an explicit allow-list of approved targets to ensure controlled scanning environments.
2Execute a scripted login using the encrypted credential store to secure session cookies and bearer tokens.
3Crawl the application to discover endpoints and synthesize a comprehensive API specification.
4Generate and deploy targeted payloads using the AI model layer to identify vulnerabilities.
5Triage findings and generate detailed reports in HTML and JSON formats, categorized by severity.

Frequently Asked Questions

How does authenticated scanning differ from standard unauthenticated scans?

Standard scans typically stop at the login page. Our approach uses scripted logins to obtain session tokens, allowing the scanner to operate as a real user and reach the internal authenticated surface where critical data resides.

Where is the scan data and credential information stored?

The platform is entirely self-hosted. All scan data, encrypted credentials, and security reports remain on your own infrastructure with no external SaaS dependency.

What happens if the scanner fails to authenticate during a run?

We apply an 'honest-failure' rule: a scanner that cannot authenticate is classified as an environment failure rather than a security finding, preventing false positives in security reporting.

Can the underlying scanning engine be updated or swapped?

Yes. Because the platform interacts with the Deep Eye open-source engine through a CLI contract, the scanning core can be upgraded or replaced without requiring changes to the overall platform.

How are the findings reported and categorized?

Findings are triaged using the AI model layer and reported by severity level. Reports are provided in both HTML and JSON formats for easy integration and review.

Secure Your Enterprise Surface

Move beyond annual snapshots with continuous, authenticated security scanning hosted on your own infrastructure.

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