Join this session to learn about a new open community framework designed to provide structured guidance for the safe, secure, and compliant integration of Artificial Intelligence (AI) into ICS and OT environments.

As organizations plan to adopt AI for predictive maintenance, anomaly detection, and process optimization, this framework will address the critical challenges at the intersection of AI and industrial operations. It establishes governance structures and risk management approaches aligned with commonly accepted international standards. It also includes OT-specific considerations such as threat modeling approaches, explainability requirements for safety-critical decisions, and secure AI development practices.

Key components include operational safeguards for AI deployment, incident response procedures tailored to AI-specific failures, resilience mechanisms with fail-safe fallbacks, and regulatory alignment with industrial safety standards. The framework will also provide practical implementation guidance through a phased adoption roadmap and an application-based tool to help organizations navigate their compliance and guidance.

By addressing both technical and organizational challenges, this framework will enable organizations to responsibly leverage the potential of AI while maintaining the safety, reliability, and security of critical industrial infrastructure.