Industry & Executive Brief · 2026

AI governance for critical infrastructure.

CIAGI helps organizations assess, validate, and govern AI in operational environments through AAIGF-E, structured assessment, CPAG Lab pilot validation, executive demonstrations, and specialist advisory support.

CIAGI research engagement at IEEE ICCSDFAI 2026

AI is entering operational environments ahead of governance.

Deployment Without Governance

AI can enter OT environments before formal risk assessment, accountability, assurance, and operational validation are established.

Existing Framework Gaps

Established cybersecurity standards were not specifically designed to govern AI behavior, model integrity, drift, or AI influenced operational decisions.

Accelerating Expectations

Security agencies, standards bodies, and industry communities are rapidly developing expectations for secure and trustworthy AI integration.

Interdisciplinary Skills Gap

Organizations require expertise spanning AI governance, cybersecurity, operational technology, risk, assurance, and human oversight.

A published AI governance framework for the electric sector.

AAIGF-E v1.0 was co-authored by Suhail Ahmad Rana and Clint Bodungen. It provides 111 controls across 11 domains and is designed as a practical governance overlay for AI in electric utility and associated OT environments.

111Controls
11Domains
7Lifecycle Anchors
5Framework Mappings

Practical pathways from assessment to validation.

AI Governance Assessment

A structured gap assessment against AAIGF-E’s 111 governance controls.

Pilot Validation

Validate governance controls and operational workflows through CPAG Lab before operational deployment.

AI Risk Scenarios

Scenario based exercises reflecting AI risk in OT and critical infrastructure environments.

Expert Advisory

Specialist support grounded in critical infrastructure cybersecurity, governance, risk, compliance, and AI assurance.

From evidence-based research to governed scale.

Research
AAIGF-E
Assessment Toolkit
CPAG Lab Validation
Govern & Scale

Turn documented controls into operational evidence.

CPAG Lab bridges governance frameworks and operational environments through practical validation, experimentation, pilot studies, executive demonstrations, and stakeholder workshops.

Before Deployment

Demonstrate how misleading operational data, model drift, prompt injection, and weak oversight can influence physical processes.

AAIGF-E Response

Validate sensor trust, identify conflicting signals, enforce operational thresholds, preserve human oversight, and inhibit unsafe automation.

Engage at the level that matches your organization.

Become a Pilot Partner

Evaluate your AI governance posture and identify priority improvements before wider operational adoption.

Join the Early Adopter Program

Help shape AAIGF-E v2.0 through operational context and structured real world feedback.

Commission an Assessment

Assess AI use cases and governance arrangements against AAIGF-E’s 111 controls.

Advance safe, secure, and trustworthy AI adoption.

Request an executive briefing, discuss a pilot assessment, or explore CPAG Lab validation and demonstration opportunities.