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Energy  ·  AI Governance Policies

Critical infrastructure AI has no margin for ungoverned data access.

NERC CIP and FERC requirements define what systems can access what data under what conditions. AutoPIL enforces those access rules at the agent layer — before any data reaches a model — with a tamper-evident record designed to survive regulatory review.

AI Agent Policies — Energy

10 policies across grid operations, trading compliance, and field safety — enforcing the NERC CIP-mandated boundary between operational technology and energy markets, and isolating field safety workflows from trading data.

grid_operations.yaml4 roles
trading_compliance.yaml3 roles
field_safety.yaml3 roles
All 10 agent roles
grid_monitoring_agentdemand_response_agentoutage_management_agentcapacity_planning_agentenergy_trading_agentmarket_surveillance_agentregulatory_reporting_agentwork_order_agentsafety_inspection_agentenvironmental_monitoring_agent
policies/energy/grid_operations.yaml
policies:
  # Grid monitoring agent — SCADA feeds and alarm data; blocked from trading positions and customer PII
  - name: grid_monitoring_agent_policy
    agent_role: grid_monitoring_agent
    allowed_sources:
      - scada_feeds
      - alarm_feeds
      - grid_topology
      - sensor_telemetry
    denied_sources:
      - trading_positions
      - customer_pii
      - financial_reports
    allowed_tasks:
      - grid_monitoring
      - alarm_triage
      - fault_detection
    denied_tasks:
      - scada_control_commands
      - trading_execution
    max_sensitivity: high
Applicable Regulations — Energy
Where AI governance breaks down in Energy
BES cyber system access violations
NERC CIP-011 mandates strict access controls on BES Cyber System Information. AI agents accessing BCSI without authorization is a reportable violation. AutoPIL enforces the boundary.
IT/OT convergence risk
AI agents that bridge operational technology and enterprise IT systems create NERC CIP compliance exposure. AutoPIL enforces the isolation between them at the data layer.
Trading compliance audit gaps
FERC requires audit trails for energy trading decisions. AutoPIL logs every AI access event with the exact policy version that governed it — immutably and automatically.
How to use

One path.
Your industry loaded.

Point policy_path at your industry directory. AutoPIL loads every YAML file recursively — roles, sensitivity rules, and process groups wired up automatically from the directory structure. No additional config needed.

Policies are hot-reloaded at runtime. Extend or override any pre-built policy via the REST API without redeploying your agents or restarting services.

setup.py 
from autopil import ContextGuard

# Point at your industry — only those policies load
guard = ContextGuard(
    policy_path="policies/energy/",
    audit_db="autopil.db",
)

# policies/energy/ — loads recursively
# Switch verticals by changing the path — nothing else changes.

Start with Energy.
Extend from there.

Pre-built policies for energy are included in every AutoPIL trial. Extend or override any rule via the REST API without redeploying.

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