The rise of AI in recent years has huge potential when applied to our power grids, especially as hydrogen enters the energy mix. However, this also poses potential risks when energy security is considered. This leadership will address how AI and Machine Learning can optimize the structural materials, production, transportation, and storage of hydrogen at scale whilst looking at potential cybersecurity pitfalls when deployed in critical energy infrastructure and how a robust cybersecurity strategy can protect assets from threats.