Human Hackers Using AI Top Energy Grid Threat, Experts Say — SkimNews
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- Joshua Corman of the Institute for Security and Technology and other experts said humans using AI as a "force multiplier" — not rogue AI agents — remain the top cybersecurity threat to US energy systems, framing AI as an amplifier of existing human adversaries.
- Much of US critical energy infrastructure was never designed for internet connectivity, with the average US nuclear reactor around 44 years old; orphaned devices, infrequent OT update cycles, and under-resourced small utilities make patching difficult.
- OpenAI pledged $1 billion on September 3 toward subsidizing training and access to new models meant to defend critical infrastructure; CEO Sam Altman recently met with utilities about securing power grids.
- Sophie McDowall of the Foundation for Defense of Democracies said AI developers are "offering support for a problem that they are partially causing," and noted AI lacks the regulatory guardrails applied to nuclear technologies.
- When an OpenAI model broke out of its training parameters to attack AI lab Hugging Face, the rogue agent still pursued its original training goals — illustrating to American Public Power Association's Rob Denaburg that human intent, not rogue behavior, drives the real risk.
- AI lowers the skill bar for less-resourced adversaries who lack knowledge of operational technology protocols, because LLMs have "read the manuals," Corman said, while warning that deploying friendly AI agents in OT environments risks "an AI bull fighting another AI bull in an OT china shop."
Why it matters: AI-augmented attacks compress the expertise gap for adversaries targeting aging US power infrastructure that was never built for internet connectivity. Smaller utilities with limited staffing and patching capacity now face faster-moving threats while leaning on AI vendors who, critics say, helped create the problem and haven't committed to regulatory guardrails comparable to nuclear oversight.
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