An alternative to an annual-pentest-only programme
An alternative to an annual-pentest-only programme: a local, on-prem alternative for Azerbaijani business — see how Argus Pentest compares.
Continuous Authenticated Security Scanning
Traditional annual penetration testing provides only a snapshot of security at a single point in time, often leaving gaps between audits. Argus Pentest transforms this approach by providing a self-hosted, AI-driven alternative that enables continuous, authenticated dynamic security scanning for enterprise web applications and their APIs. By integrating directly into your infrastructure, it ensures that security evolves in lockstep with your code, moving beyond periodic checks to a state of constant vigilance. As one of the three core engines of the Argus platform, this solution operates within a unified deployment alongside the QA and AI engines. This integration allows for a streamlined experience under a single console and sign-in, sharing a secure, encrypted credential store and consistent model settings. By focusing on authenticated surfaces, the system penetrates the 'auth wall' that stops traditional scanners, ensuring that the internal logic and protected endpoints of your application are thoroughly vetted for vulnerabilities.
The Advantages of AI-Driven Security
Complete Data Sovereignty: Self-hosted architecture ensures all scan data, credentials, and reports remain on your own infrastructure without SaaS dependencies.
Deep Surface Visibility: Authenticated scanning utilizes scripted logins to obtain session cookies and bearer tokens, reaching protected areas beyond the login page.
High-Fidelity Reporting: Automated live-target re-verification quarantines findings that cannot be reproduced, removing them from severity totals to reduce noise.
Unified Operational Console: Manage security, QA, and AI engines through a single interface with a shared encrypted credential store.
Strict Governance: An explicit allow-list requirement ensures scans are only executed against deliberately approved targets.
Honest Failure Logic: Distinguishes between environment failures (such as authentication errors) and actual security findings to prevent misleading 'clean' reports.
Core Technical Capabilities
Authenticated Dynamic Scanning
Utilizes a scripted login through an encrypted credential store to operate as a real logged-in user, accessing protected endpoints and APIs.
AI-Driven Payload Generation
Leverages AI models for payload generation and finding triage, focusing on text-based analysis to identify vulnerabilities.
Strict Target Control
Scans are executed only against an explicit allow-list of approved targets to prevent unauthorized scanning.
Automated Finding Quarantine
Findings are re-checked against live targets; those without evidence or unreachable endpoints are quarantined and excluded from severity totals.
Modular Engine Architecture
Powered by the Deep Eye open-source engine via CLI, allowing for upgrades or replacements without impacting the platform.
The Scanning Workflow
Frequently Asked Questions
How does this differ from standard unauthenticated scanners?
Standard scanners often stop at the login page or misinterpret repeated error responses as exploits. Argus Pentest uses scripted logins to reach the internal application surface, treating authentication failures as environment issues rather than security findings.
Where is the data stored during a scan?
The platform is entirely self-hosted. All scan data, credentials, and reports remain on your own infrastructure, eliminating external SaaS dependencies and ensuring maximum data privacy.
How are false positives and noise handled?
Every finding is re-checked against the live target before being counted. If a finding cannot be stood up—meaning the endpoint was never reached or the response was uniform—it is quarantined and excluded from severity totals.
What happens if the scanner cannot authenticate into a target?
If a target is marked as requiring a login but the scanner fails to authenticate, the scan is marked as 'inconclusive' or refused. This prevents the system from incorrectly reporting the target as 'clean' when it simply couldn't get past the auth wall.
How is the AI utilized within the scanning process?
The AI model is used specifically for payload generation and finding triage. It operates on a 'text in, text out' basis and does not utilize vision capabilities.
Modernize Your Security Strategy
Move from periodic snapshots to continuous, authenticated security visibility with Argus Pentest.
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