QNSI

Software & SaaS | Modelled case study

Find hidden cryptography in a SaaS dependency graph

Which libraries, runtimes, services, and managed dependencies will block a cryptographic transition?

Accountable ownersApplication Security · Platform Engineering · Architecture
Scenario typeComposite model
Required outputDecision artifact

The modelled organisation

A recognisable problem reaches the operating agenda

This composite scenario follows the Application Security · Platform Engineering · Architecture functions. It is grounded in the cited problem context but does not identify a real customer.

Operating environment

A software provider ships frequent releases through source, build, package, deployment, dependency, and customer-assurance systems.

What is at stake

Customers and regulators need to distinguish an authorized release and evidenced control from a claim assembled after an incident.

Situation

SBOM package names do not reliably reveal certificates, protocol defaults, bundled providers, transitive crypto libraries, or runtime configuration.

Event that forces action

PQC roadmap, framework upgrade, merger integration, or a vulnerable cryptographic dependency.

Concrete system boundary

Systems this case study puts in scope

The model is specific about the operational surfaces that must be discovered, changed, or independently checked.

01

application dependencies

02

runtime and container images

03

managed cloud services

04

unsupported algorithm and ownership map

Modelled case study walkthrough

How this organisation would use QNSI

The walkthrough connects the real-world problem to a bounded QNSI contribution and an independently reviewable result.

01

Recognise the operating condition

SBOM package names do not reliably reveal certificates, protocol defaults, bundled providers, transitive crypto libraries, or runtime configuration.

02

Frame the decision the owners must make

Which libraries, runtimes, services, and managed dependencies will block a cryptographic transition?

03

Apply QNSI to the controlled boundary

Combine QNSI cryptographic discovery with software component and runtime ownership records to identify actual use and uncertainty.

04

Leave the team with a concrete result

A dependency-level crypto migration backlog with observed use, package origin, upgrade path, and false-positive status.

05

Prove the result in the organisation's environment

Engineering reproduces findings, tests upgraded dependencies, checks licensing, and verifies production negotiation and behavior.

What useful success looks like

A decision artifact plus proof from the real environment

The model stops at a target result. It becomes an actual case study only when a customer produces and independently validates this evidence in production.

Decision artifact

A dependency-level crypto migration backlog with observed use, package origin, upgrade path, and false-positive status.

Independent validation boundary

Engineering reproduces findings, tests upgraded dependencies, checks licensing, and verifies production negotiation and behavior.

Real-world problem grounding

Primary sources behind the model

These sources establish the external requirement, failure mode, or risk context used to model this case. They do not endorse HEOSSI or prove that QNSI completed the scenario.

Customer evidence status

This is modelled, not a customer claim

The organisation is a composite and the result is a target state. This page does not prove a deployment, customer outcome, certification, legal conclusion, regulator endorsement, or completed control.

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