MUSYG · AI ADOPTION

Sector guidance

Critical-infrastructure extension

Verified orientation snapshot: 19 August 2026. Apply the operator’s sector, safety, cybersecurity, resilience, and reporting duties in addition to this overlay.

For an essential service, the primary outcome is safe continuity. A system that optimizes normal operations but creates an untested command path, shared failure mode, or unrecoverable dependency is not a successful adoption.

Place the system relative to control

Zone Example Default boundary
Knowledge support Search procedures or summarize maintenance records A0–A1 on controlled sources
Operational advisory Detect anomalies or recommend a response A1; operator verifies live state and authority
Workflow action Open a ticket, notify, or prepare a change A2 with destination validation and approval
Control action Change plant, traffic, water, energy, or safety state Treat as R3/A3; formal safety and engineering authorization
Self-extending control Acquire permissions, rewrite policy, or coordinate unrestricted actions A4 disabled by default

Critical-infrastructure gates

C0 — Essential-service boundary

  • identify the essential service, critical functions, maximum tolerable disruption, and dependent sectors;
  • name operational, safety, cyber, incident, and executive authorities;
  • map whether the AI is outside, adjacent to, or inside an operational-technology or safety boundary;
  • record every physical, digital, and human effect it can initiate.

Stop: the command path, safety authority, or service-restoration priority is ambiguous.

C1 — Hazard and dependency case

  • model unsafe command, missed alarm, false alarm, stale state, loss of view, common-mode failure, cascade, and malicious instruction;
  • map dependencies on cloud, telecoms, identity, time, geolocation, models, data feeds, suppliers, and other essential services;
  • define fail-safe and fail-operational behavior for each loss;
  • ensure the AI cannot silently weaken an existing interlock or protection layer.

C2 — Segregated architecture

  • keep advisory, business IT, operational technology, and safety systems in explicit trust zones;
  • use read-only paths and one-way transfer wherever the task permits;
  • enforce allowlisted commands, parameters, destinations, rate, duration, and maintenance windows;
  • require independent deterministic validation and authenticated human approval before a control effect;
  • prevent model output from becoming executable control syntax without a constrained intermediary.

C3 — Simulation and independent testing

  • validate in a representative simulator, digital twin, test bench, or isolated environment;
  • test corrupted telemetry, conflicting sensors, network partition, time drift, unavailable supplier, compromised account, injection, and operator overload;
  • measure detection, containment, safe-state transition, restoration, reconciliation, and evidence preservation;
  • obtain independent safety/security review for any path that can affect essential-service state.

C4 — Shadow and advisory operation

  • start with replay, shadow, or advisory use without command authority;
  • compare against real operator decisions across normal, degraded, emergency, and rare conditions;
  • monitor alert burden, automation bias, handover quality, and time to safe action;
  • grant no power beyond the exact scenarios and parameters tested.

C5 — Bounded production and recovery

  • use staged release, two-person control where appropriate, kill paths independent of the AI, and tested manual operation;
  • monitor model/data drift, unauthorized commands, suppressed alarms, latency, dependency health, and operator overrides;
  • rehearse supplier loss, network isolation, rollback, black start or equivalent restoration, and evidence recovery;
  • connect incidents to all applicable sector and cyber-reporting routes. In Switzerland, covered operators must account for the NCSC cyberattack-reporting process and its 24-hour discovery window.

Minimum evidence pack

  1. essential-service and authority map;
  2. hazard, dependency, and trust-boundary model;
  3. command allowlist and deterministic interlocks;
  4. simulator/test-bench results for normal and degraded states;
  5. independent safety/security review and bounded release record;
  6. manual-operation proof, recovery exercise, and reporting routes.

Transfer boundary

Evidence from a lab, another site, a different controller, network, load profile, season, supplier, or operator team is not production evidence. Revalidate the complete sociotechnical configuration and its cross-sector dependencies.

See the dated primary-source register, the security guide, and the incident runbook.

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Source and history · GitHub