TrigGuard
TRIGGUARD ENERGY
Industries

AI Governance for Energy & Utilities

AI is entering dispatch, maintenance, and market operations. A wrong recommendation is tolerable in a dashboard; an unsafe or unapproved action on OT, SCADA-adjacent workflows, or market interfaces is not.

Problem & risk

Operators face converged IT/OT threats, ageing infrastructure, and rising automation. AI that proposes switching actions, setpoints, or work orders needs the same discipline as safety interlocks: deterministic authorization before actuation, with evidence for regulators and internal audit.

Request a grid or OT workshop to map your control points.

Regulatory context

Expectations from NIS2, sector-specific resilience regimes, and AI governance guidance converge on demonstrable control of automated decisions affecting critical services.1

  1. Map to Ofgem resilience and reporting requirements, EU AI Act where applicable, and your national cyber/OT security frameworks.

Solution

TrigGuard is the gate between inference and action: policy evaluates each proposed operation; DENY and SILENCE prevent harmful execution; PERMIT proceeds with signed receipts for post-incident review and compliance packs.

  • Sub-second evaluation for operational loops
  • Clear audit trail for safety and compliance cases
  • Policies aligned to site-specific risk appetite

Integration points

Integration points include EMS/SCADA-adjacent orchestration layers, DER aggregation platforms, outage management, work order systems, and predictive maintenance pipelines before tickets become field actions.

Next steps

Choose how you want to engage—each action logs intent for follow-up when analytics is enabled.

Long-form articles on the content calendar can deep-link here as they ship.