Predictive maintenance, leak detection, remote operations and GenAI for engineering all touch safety-critical systems and high-value data. Asenion turns pipeline security directives and OT standards into operational controls your CISO, OT security and operations teams can verify, 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.
Cybersecurity requirements for critical pipeline owners and operators: an approved implementation plan, IT/OT segmentation, access control, continuous monitoring and annual assessment.
For AI: AI tools that connect to or analyze OT data must respect your segmentation and be covered by your implementation plan and assessment.
API's pipeline control system cybersecurity standard, aligned with IEC 62443 and NIST.
For AI: AI-driven leak detection and control room decision support belong inside your control system security program.
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 require suppliers of AI-enabled OT products to meet component security requirements.
The enterprise security framework most energy companies report against, now with a Govern function.
For AI: Add AI assets, AI supply chain risk and AI incidents to your CSF profile and board reporting.
Treats oil production, refining, storage and transmission operators as essential entities, with management accountability.
For AI: AI in operations falls under NIS2 risk management, supply chain security and 24-hour early-warning incident reporting.
The AI use cases we see most often, and the requirements that follow them.
Models that prioritize inspections or defer maintenance affect safety. They need validation, human sign-off and drift monitoring.
AI alarms and recommendations must not overload controllers or bypass safety systems.
Agents with access to SCADA or historian data need segmentation, least privilege and tamper-resistant logs.
Seismic data, reservoir models and engineering drawings are high-value IP. GenAI use needs approved tools and data controls.
One set of controls, applied from design through runtime, with evidence your inspectors, auditors and board can rely on.
Start from Policy Packs for TSA pipeline directives, API 1164, IEC 62443, NIST CSF 2.0 and NIS2, combined with your own OT and AI policies.
Test 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.
