TrigGuard
TRIGGUARD ENERGY
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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.

Execution surfaces in energy & utilities

Buyer queries cluster on dispatch, OT-adjacent control, and market automation, not on "AI for utilities" alone. Name the actuation paths, then wire each to the governance cluster.

  • Grid dispatch and balancing automation Algorithms that propose switching, reserves, or curtailment can affect reliability at scale. Use Fail-closed AI systems so unsafe or unapproved actions never reach the control path.
  • DER and market operations Aggregation and bidding loops need deterministic outcomes under known policy. Deterministic authorization keeps decisions aligned to published rules and versions.
  • OT and remote operations Work orders, setpoints, and remote interventions are execution events. Gate them with Pre-execution authorization before devices or field crews are instructed.
  • Outage and emergency workflows Accelerated response must still respect safety interlocks and procedure. Policy enforcement engine encodes who may act and under which contingencies.
  • Predictive maintenance to field action When models promote tickets into work that changes plant state, treat the handoff as agentic. AI agent safety bounds tools and escalation.
  • Cyber-physical automation at the edge Local autonomy should assume loss of cloud context. Pair fail-closed behaviour with AI decision verification for post-event evidence.

Next steps

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

Talk to OT Security Experts Book Grid AI Safety Workshop Demo Real-Time Dispatch Gating

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