Solutions · Argus Pentest

Authenticated penetration testing for Banking

Authenticated penetration testing for banking. Banks operate under Central Bank of Azerbaijan supervision and banking-secrecy rules, so customer data cannot go to foreign clouds.

Authenticated Security Scanning for Enterprise Banking

Banking institutions operating under the Central Bank of Azerbaijan must adhere to rigorous banking-secrecy rules and strict data residency obligations. Allmaz provides a self-hosted AI testing solution designed to ensure that sensitive customer data and security telemetry never leave your internal infrastructure. By eliminating external SaaS dependencies, the platform allows for deep security scanning and vulnerability assessment without compromising regulatory compliance or exposing critical assets to foreign cloud environments. 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. This integration enables a sophisticated approach to dynamic security scanning for enterprise web applications and their APIs. By leveraging authenticated scanning, the system moves beyond the login page to analyze the actual authenticated surface, providing a realistic assessment of the security posture of a bank's digital services.

Capabilities

Strategic Security Advantages

Full compliance with data residency and banking-secrecy obligations through a completely self-hosted deployment.

Elimination of foreign cloud dependencies, ensuring sensitive customer data remains within your controlled infrastructure.

Deep visibility into the authenticated surface of web applications and APIs, uncovering vulnerabilities hidden behind login walls.

Detailed evidence generation via HTML and JSON reports to satisfy rigorous audit and regulatory compliance requirements.

Reduced risk of fraud and unauthorized access through comprehensive, AI-driven vulnerability detection.

Operational agility via a modular architecture that allows the scanning engine to be upgraded or replaced without platform disruption.

Enterprise 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 internal authenticated surfaces rather than stopping at the login page.

Strict Target Control

Scans run exclusively against an explicit allow-list of approved targets, requiring deliberate addition before any scanning occurs.

AI-Driven Payload Generation

An integrated model is used specifically for payload generation and finding triage, operating on a text-in, text-out basis.

Modular Engine Architecture

Powered by an open-source engine driven through a CLI contract, allowing the scanner to be upgraded or replaced without altering the platform.

The Testing Workflow

1Deploy the self-hosted platform on your own infrastructure to maintain data sovereignty.
2Define an explicit allow-list of approved banking targets and APIs.
3Execute a scripted login using the encrypted credential store to secure session tokens.
4Crawl the application to synthesize an API spec and map the authenticated surface.
5Run dynamic security scans to identify vulnerabilities based on severity.
6Generate HTML and JSON reports for internal remediation and regulatory audit evidence.

Frequently Asked Questions

How does this solution handle banking-secrecy rules?

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

What happens if the scanner cannot authenticate?

Following a strict honest-failure rule, a scanner that cannot authenticate is treated as an environment failure rather than a security finding.

Does the AI model process visual data or images?

No, the model is used strictly for text-based payload generation and finding triage; it is a text-in, text-out system.

Can we track the exact cost per individual test?

Per-scan cost accounting is currently missing, so the engine cannot yet provide a specific cost-per-test metric like the QA engine can.

How is the scanning engine managed and updated?

The scanner uses an open-source engine driven through a CLI contract, which allows it to be upgraded or replaced without touching the rest of the platform.

Secure Your Banking Infrastructure

Implement authenticated penetration testing that respects Azerbaijan's regulatory landscape. Contact Allmaz for a technical demonstration.

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