AI in Energy & Infrastructure
Case Study: Ensuring safety, reliability, and cybersecurity for AI used in smart grids, renewable energy, and critical infrastructure management.
We provide independent assurance for AI systems managing European smart grids and energy production, focusing on optimizing efficiency while strictly adhering to safety, operational, and environmental standards.
Focus on Critical Infrastructure Risk (ISO/IEC 42001 Annex C)
Systemic Safety Failure (C.2.9)
Mitigating risks related to AI decision-making causing physical damage or widespread power outages. Ensuring human life and critical system operations are safeguarded.
Robustness & Data Quality (C.2.8)
Validating AI's ability to maintain performance despite fluctuations in sensor data quality (C.3.4) and sudden shifts in energy generation (e.g., solar/wind intermittency).
Environmental Impact (C.2.4)
Assessing the environmental footprint of AI models (training/operation) and validating the positive impact of AI in optimizing renewable energy deployment and reducing consumption.
The Grid Integrity Layer: Integrated Compliance
Our audit integrates AI Governance (ISO 42001) with mandatory standards for operational technology (OT) security and environmental management in the energy sector.
Industrial Control Safety (IEC 62443)
Ensuring AI applications comply with stringent security and operational integrity requirements for industrial control systems (ICS) and SCADA networks.
Cyber Resilience & NIS 2 Readiness
Validation of the AI layer against sophisticated threats, ensuring continuous service delivery and adherence to NIS 2 directives for critical energy entities.
Environmental & Quality Management (ISO 14001)
Verifying that AI-driven optimization processes (logistics, efficiency) support ISO 14001 (Environmental) and ISO 9001 (Quality) objectives.
Validated Energy Outcomes
Systemic Risk Audited
Achieved full compliance with AIMS and OT safety standards, significantly reducing risk of widespread network failure.
Operational Efficiency Verified
Validated AI algorithms optimize grid balancing and renewable energy forecasting for peak efficiency.
Green Governance Achieved
Provided auditable proof that AI supports ISO 14001 environmental targets and sustainability goals.