QNSI

Manufacturing | Modelled case study

Use machine identity to enforce factory-cell boundaries

Can a machine authenticate only to the controllers, brokers, and services required for its production role?

Accountable ownersOT Architecture · Plant Engineering · Identity
Scenario typeComposite model
Required outputDecision artifact

The modelled organisation

A recognisable problem reaches the operating agenda

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

Operating environment

A manufacturer integrates production cells, robots, engineering systems, digital twins, firmware, machine identities, and a multi-tier supplier network.

What is at stake

An untrusted device, configuration, or supplier certificate can stop a line, corrupt quality decisions, or propagate risk across multiple products and plants.

Situation

Cloned images, shared certificates, and flat broker credentials let one compromised machine impersonate peers or cross production cells.

Event that forces action

Smart-factory rollout, segmentation programme, or line reconfiguration.

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

production-cell machines

02

machine identity issuer

03

industrial network policy

04

maintenance and orchestration services

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

Cloned images, shared certificates, and flat broker credentials let one compromised machine impersonate peers or cross production cells.

02

Frame the decision the owners must make

Can a machine authenticate only to the controllers, brokers, and services required for its production role?

03

Apply QNSI to the controlled boundary

Map machine identities, issuers, algorithms, authorized services, line ownership, and rotation constraints in QNSI.

04

Leave the team with a concrete result

A cell-level machine trust matrix with shared identities, unauthorized reach, and enrollment remediation.

05

Prove the result in the organisation's environment

The manufacturer tests enforcement, production timing, fail-safe behavior, maintenance access, and recovery.

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 cell-level machine trust matrix with shared identities, unauthorized reach, and enrollment remediation.

Independent validation boundary

The manufacturer tests enforcement, production timing, fail-safe behavior, maintenance access, and recovery.

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.

QNSI privacy choices

Necessary storage keeps the site secure. With your permission, privacy-bounded analytics help HEOSSI understand pages, journeys, and campaign outcomes. No advertising profiles are created.

Cookie policy