Load forecasting, asset health, wildfire risk models and AI agents in the SOC now touch critical infrastructure. Asenion turns NERC CIP, OT security and emerging AI rules into operational controls your CISO, OT security and compliance teams can verifiy, monitor and evidence.
Schedule a Call30 minutes with our AI compliance team.
Few of these were written only for AI. All of them apply to it.
Mandatory cybersecurity standards for the bulk electric system in the US and Canada, including CIP-013 supply chain risk management and the new CIP-015 internal network security monitoring.
For AI: AI tools that touch BES Cyber Systems or BES Cyber System Information must fit your ESP, access management and supply chain controls.
The OT and industrial control system security standard series, built on zones, conduits and security levels.
For AI: Place AI components inside defined zones and conduits, and hold suppliers of AI-enabled OT products to component security requirements.
The Department of Energy's Cybersecurity Capability Maturity Model for energy sector security programs.
For AI: Benchmark how you manage AI assets, AI supply chain risk and AI-related threats across IT and OT.
NIS2 covers electricity, gas, water and district heating operators; the electricity Network Code on Cybersecurity adds cross-border risk assessment.
For AI: AI in grid and plant operations falls under NIS2 risk management, supply chain security and incident reporting.
AI used as a safety component in managing critical infrastructure or supplying water, gas, heating and electricity is high-risk. Under the AI Omnibus, those obligations apply from December 2027.
For AI: Risk management, robustness, logging and human oversight for AI that operates grid and network assets.
The AI use cases we see most often, and the requirements that follow them.
Forecasting and dispatch models affect reliability. They need validation, fallbacks and drift monitoring, especially in extreme weather.
Models that guide power shutoffs, inspections and capital plans need documented assumptions, independent review and ongoing monitoring.
Assistants handling accounts, payment arrangements and disconnection questions must be accurate, disclose AI and protect customer data.
Agents with access to SCADA, EMS or security tooling need least privilege, change control and tamper-resistant logs.
One set of controls, applied from design through runtime, with evidence your CIP auditors, regulators and board can rely on.
Start from Policy Packs for NERC CIP, IEC 62443, C2M2, NIS2 and the EU AI Act, combined with your own OT and AI policies.
Verify models and agents for unsafe recommendations, robustness failures, data leakage and prompt injection, with every result mapped back to a control.
Apply context-aware controls to AI agents in production and capture tamper-resistant evidence of what happened, which controls applied and whether they worked.
In 30 minutes we'll map your AI use cases to the rules above, show the controls that apply, and point out gaps across IT and OT.
Schedule a CallNo preparation needed.
