Solutions · Argus Pentest

Authenticated penetration testing for Insurance

Authenticated penetration testing for insurance. Insurers must evidence fair handling of claims and complaints for regulators.

Securing the Insurance Claims and Compliance Lifecycle

Insurance providers must maintain rigorous evidence of fair claims handling and complaint resolution to satisfy strict regulatory requirements. Allmaz provides authenticated dynamic security scanning specifically designed to secure the sensitive web applications and APIs that manage policy data, fraud signals, and dispute tracking. By focusing on the authenticated surface, the platform ensures that the internal logic governing claims processing is resilient against vulnerabilities that standard, unauthenticated scanners typically miss. 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 integrated approach allows for a seamless security posture where the scanner operates as a real logged-in user, utilizing a scripted login process to access the deep functional areas of the application. This ensures that security testing is not just a perimeter check, but a comprehensive validation of the entire insurance lifecycle.

Capabilities

Enterprise Security Advantages

Validate the security of claims-call analysis and dispute handling portals through authenticated testing

Ensure regulatory compliance by securing sensitive policyholder data and PII

Protect the integrity of fraud signal detection systems from unauthorized access and manipulation

Secure complaint tracking systems to maintain immutable audit trails for regulators

Maintain full data sovereignty with a self-hosted infrastructure that eliminates SaaS dependencies

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

Enterprise-Grade Security Capabilities

Authenticated Deep Scanning

Unlike generic scanners, our system uses a scripted login via an encrypted credential store to operate as a real logged-in user, reaching the authenticated surface of your insurance portals.

Synthesized API Discovery

Endpoints discovered during login and crawling seed a synthesized API spec, ensuring the scan penetrates beyond the login page into core application logic.

Self-Hosted Sovereignty

All scan data, credentials, and reports remain on your own infrastructure, eliminating external SaaS dependencies for sensitive insurance data.

AI-Driven Payload Generation

The platform utilizes 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, ensuring no unauthorized systems are touched during testing.

The Authenticated Testing Process

1Define an explicit allow-list of approved insurance application targets.
2Execute a scripted login through the encrypted credential store to obtain session cookies and bearer tokens.
3Crawl the application to synthesize an API specification based on discovered endpoints.
4Run the Deep Eye engine to perform dynamic security scanning of the authenticated surface.
5Generate severity-based findings delivered via HTML and JSON reports.

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 actual functional areas where claims and policy data are processed.

Where is the scan data stored and how is it managed?

The platform is entirely self-hosted. All credentials, reports, and scan data stay on your own infrastructure, ensuring no external SaaS dependency for your sensitive data.

How are vulnerabilities reported and categorized?

Findings are reported by severity and delivered in both HTML and JSON formats, making it easy to integrate the results into your internal compliance and remediation workflows.

What happens if the scanner cannot authenticate to the application?

Following our 'honest-failure' rule, a failure to authenticate is treated as an environment failure rather than a security finding, preventing false positives in your security reports.

Can the scanning engine be updated or replaced?

Yes. The platform uses Deep Eye, an open-source engine driven through a CLI contract, meaning the scanner can be upgraded or replaced without requiring changes to the core platform.

Secure Your Regulatory Compliance

Protect your claims and policy infrastructure with authenticated penetration testing. Contact Allmaz today.

Request a demo