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Energy and critical infrastructure · later

AI for the grid without operational data leaving your network.

Detector not built yet

Grid operators, utilities and plant operators sit on data that cannot be pasted into a cloud model: SCADA/OT telemetry, grid topology, proprietary process parameters, and on the trading and customer side, personal data. The engine is the same as in healthcare; the energy detector is not built yet.

What Suvard would protect here

The engine exists; the energy detector is the next step, not a product today.

SCADA / OT tags
telemetry identifiers
Not built
Asset and site IDs
grid and plant assets
Not built
Grid topology
network layout
Not built
Proprietary process parameters
e.g. catalyst and efficiency data
Not built
Customer and counterparty data
GDPR: names, addresses, customer IDs
Not built

The energy detector is not built. The on-premise engine, the signed evidence layer and the personal-data core exist and are validated in healthcare; only the sector detector is new. We do not enter a new sector before we have a Danish healthcare reference.

The rules it would be built for

Supervision: The NIS2 authorities for energy

NIS2

energy is an essential sector; in force now

EU AI Act

high-risk uses in critical infrastructure (Annex III) from 2 December 2027

GDPR

customer and counterparty data

Suvard provides the technical controls and the evidence; the legal assessment is yours. Not legal advice.

Where operators would use it

  • Predictive maintenance
  • Load and demand forecasting
  • Process and efficiency optimisation
  • Trading and customer operations with personal data, GDPR-safe

Other sectors

Next step

A 30-minute check on where AI is already running in your organization.

We start with a mapping, not a sale. You get an honest picture of what passes through your network, and what it would take to be able to prove it afterwards.