Solutions · Argus Pentest

Authenticated penetration testing for Telecom

Authenticated penetration testing for telecom. Operators handle millions of subscriber interactions across Azerbaijani and Russian, under service-quality SLAs.

Secure Subscriber Infrastructure with Authenticated Penetration Testing

Telecom operators manage millions of critical interactions across Azerbaijani and Russian languages while adhering to strict service-quality SLAs. To protect this infrastructure from churn-inducing outages and data breaches, Allmaz provides authenticated dynamic security scanning designed to penetrate beyond the login page. By operating as a real logged-in user, the system secures the actual subscriber-facing surface where sensitive data resides, ensuring that security gaps are identified before they can be exploited. As one of the three core engines of Argus—a 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. This integration allows for a seamless transition from functional testing to security auditing. By leveraging a synthesized API specification derived from actual login and crawl data, the platform ensures comprehensive coverage of the authenticated surface, moving past the limitations of traditional scanners that often stop at the authentication gateway.

Capabilities

Why Telecom Operators Trust Argus

Deep visibility into authenticated surfaces where critical subscriber data resides

Full data sovereignty via self-hosted infrastructure to meet strict regulatory and compliance needs

Reduced noise by treating authentication failures as environment issues rather than security findings

Protection of high-volume contact center APIs from unauthorized access and vulnerabilities

Consistent security posture across mixed AZ/RU language application interfaces

Flexible engine architecture allowing for updates to the scanning core without platform disruption

Enterprise-Grade Security Capabilities

Authenticated Dynamic 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 Mapping

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

Self-Hosted Architecture

All scan data, credentials, and reports remain on your own infrastructure with no external SaaS dependency.

AI-Driven Payload Generation

Leverages a model layer specifically for payload generation and finding triage to identify vulnerabilities efficiently.

Strict Target Control

Scans run exclusively against an explicit allow-list of approved targets to prevent accidental impact on production SLAs.

The Path to a Secure Subscriber Experience

1Define your approved targets within the explicit allow-list to protect production environments.
2Configure the encrypted credential store to enable scripted logins via the QA engine.
3Execute the Deep Eye engine to crawl endpoints and synthesize a comprehensive API specification.
4Run authenticated scans that simulate real user behavior to identify vulnerabilities behind the login wall.
5Review severity-based findings delivered via detailed HTML and JSON reports for rapid remediation.

Frequently Asked Questions

How does this differ from standard unauthenticated scanning?

Standard scanners often stop at the login page. Our solution uses a scripted login to obtain session cookies and bearer tokens, allowing it to test the authenticated surface where subscriber interactions occur.

Where is my sensitive telecom data stored during a scan?

The platform is entirely self-hosted. All scan data, credentials, and reports stay on your own infrastructure, eliminating external SaaS dependencies.

What happens if the scanner cannot log in to the system?

Following our honest-failure rule, a scanner that cannot authenticate is flagged as an environment failure rather than a security finding, preventing false positives in your security reports.

Can the scanning engine be updated without disrupting the platform?

Yes. The scanner is based on the Deep Eye open-source engine and is driven through a CLI contract, meaning it can be upgraded or replaced without touching the rest of the platform.

How is AI utilized within the security scanning process?

The AI model is used exclusively for payload generation and finding triage (text-in, text-out) to increase the efficiency of vulnerability detection.

Ready to Secure Your Telecom Infrastructure?

Contact Allmaz today to implement authenticated security scanning that protects your subscribers and your SLAs.

Request a demo