Energy & utilities

AI agent governance for energy and critical infrastructure

NERC CIP, NIS2, critical infrastructure directives: AI agents managing grid operations, predictive maintenance, and energy commodity trading face unique safety and compliance requirements. Roval provides the governance infrastructure your operations demand.

NERC CIP compliance
Agent Access CIP status
grid-optimizer SCADA Authorized
trading-assistant Market data Audit pending
maintenance-predictor SCADA Unauthorized
maintenance-predictor accessed SCADA endpoint without CIP-007 authorization
The challenge

Critical infrastructure AI agents are operating without governance frameworks

AI agents in grid management, predictive maintenance, and energy commodity trading operate in safety-critical environments, yet most lack the governance infrastructure that regulators and operational risk teams require.

NERC CIP requires detailed audit trails for every system touching bulk electric infrastructure. AI agents that optimize grid load or dispatch resources need the same evidence trail as any control system.

NIS2 mandates 24-hour incident reporting for essential services. When an AI-driven system causes an operational disruption, you need to trace the decision chain back to the model and the data it consumed.

Energy trading agents access market-sensitive data, execute positions, and interact with exchange APIs. Without proper access controls and audit logging, a single misconfigured agent could trigger regulatory action.

Regulatory frameworks

Regulatory frameworks for energy & utilities

Pre-mapped requirements. Activate a framework and Roval tracks evidence per requirement.

US
NERC CIP nerc-cip

Critical infrastructure protection standards for AI systems interacting with bulk electric system assets and control centers.

Active
22 requirements Grid security
EU
NIS2 nis2

Network and information security directive for essential services: incident reporting, risk management, and supply chain security for AI.

Active
18 requirements Essential services
Industry
SOC 2 Type II soc2-type-ii

Trust service criteria mapped to agent governance, required by every enterprise customer and utility partner.

Active
18 requirements Annual audit
US
NIST AI RMF nist-ai-rmf

AI risk management framework for identifying, measuring, and mitigating risks in AI systems deployed across energy infrastructure.

20 requirements Risk management
Industry
ISO 42001 iso-42001

AI management system standard for establishing, implementing, and continually improving responsible AI governance.

16 requirements AI management
EU
GDPR gdpr

Data processing, consent management, and right to explanation for AI systems handling EU customer meter and consumption data.

14 requirements Data protection
Policies

Pre-built policies for energy

Start from a template, customize the rules, and activate. Every policy enforces controls on your agents.

Grid operations safety

Enforces safety limits on AI agents managing load balancing, dispatch, and frequency regulation. Blocks autonomous actions above configurable thresholds.

Active
18 blocked · 10 sensitive · 4 read-only
SCADA access controls

Restricts AI agent access to SCADA and ICS systems. Requires human approval for write operations and logs every read to the audit trail.

Active
12 blocked · 14 sensitive · 6 read-only
Energy trading oversight

Position limits, market data access controls, and audit logging for AI agents executing energy commodity trades or generating signals.

16 blocked · 8 sensitive · 3 read-only
Predictive maintenance validation

Validates AI maintenance predictions against historical data. Requires confidence thresholds before triggering work orders or equipment shutdowns.

6 blocked · 9 sensitive · 7 read-only
Environmental compliance

Ensures AI agents factor emissions limits, EPA reporting requirements, and renewable energy credits into operational decisions.

8 blocked · 5 sensitive · 10 read-only
Third-party vendor risk

Controls for agents calling external LLM APIs: data residency checks, vendor approval lists, and cost limits for critical infrastructure systems.

6 blocked · 4 sensitive · 8 read-only
How it works

Infrastructure-wide visibility and control

Infrastructure-wide agent inventory

Register every AI agent across grid operations, maintenance, trading, and metering. Classify by risk tier, map dependencies, and search by natural language.

Agent registry
Agent Risk tier Status Owner
grid-optimizer Tier 3 Certified ops-team
maintenance-predictor Tier 3 Certified asset-mgmt
trading-assistant Tier 2 Certified trading
meter-reader Tier 1 Review field-ops

Real-time cost attribution

See which agents call which models, how many tokens they consume, and what they cost. Set budget alerts per team, per agent, per model.

Cost attribution, March 2026
Agent Model Tokens Cost
grid-optimizer gpt-4o 3.2M $1,680
maintenance-predictor claude-3-5 1.9M $940
trading-assistant gpt-4o 2.1M $1,120
meter-reader gpt-4o-mini 4.8M $2,410 ↑

Continuous compliance monitoring

Certifications expire. Configurations drift. Owners leave. Roval detects it all within 15 minutes and alerts before your next audit.

Compliance posture
NERC CIP
91% Pass
NIS2
84% Review
SOC 2
100% Pass
grid-optimizer: NERC CIP-007 evidence expires in 5 days
trading-assistant: owner j.park@utilityco.com departed

Explore Roval for energy

Join the private beta. Full registry and compliance setup in under 10 minutes.

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