Industrial Control Systems

Industrial control systems are the computers that run physical operations such as power grids, water treatment plants, factory production lines, and pipelines. When AI is added to these systems, whether for predictive maintenance, anomaly detection, or automated process optimization, a model error or manipulation can cause physical harm, service outages, or environmental release rather than just bad data. For enterprise governance teams, this means AI deployed near operational technology needs stricter safety validation, clear human override procedures, and coordination with regulators who oversee critical infrastructure.

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ResearchGlobal2026-10-11

AI Agents Executed All 8 Critical Infrastructure Attacks in Booz Allen Lab Tests

Booz Allen Hamilton tested two frontier AI models against a simulated multi-vendor manufacturing environment and found the models succeeded in every attack scenario. The attacks included mapping industrial networks, exploiting software flaws, manipulating industrial control systems, and physically moving a robotic arm. The findings directly challenge long-standing assumptions that obscure industrial protocols and proprietary hardware protect operational technology environments from outside attackers.

critical infrastructure agentic AI OT security AI agents Booz Allen Hamilton autonomous AI risk industrial control systems