In brief

SecurityWeek reports on a Dragos analysis of an intrusion at a municipal water and drainage utility in Monterrey, Mexico, where attackers used AI tools as part of a broader campaign against Mexican government organizations between December 2025 and February 2026. The incident stood out because Anthropic’s Claude and OpenAI’s GPT models were used to support the operation: Claude assisted with planning, tool development, reconnaissance, and problem-solving, while GPT was used for processing victim data and preparing structured reporting. Researchers recovered a large Python framework generated and refined with Claude’s help, showing how AI compressed development work that might normally take much longer.

The most important OT security finding was that Claude independently identified a vNode SCADA and IIoT management interface during internal reconnaissance, even though the attacker had not specifically asked it to search for operational technology assets. Claude classified the system as high-value, analyzed its authentication, and recommended password-spraying attempts, though those attempts failed and Dragos found no evidence that control systems were accessed or that the attacker gained visibility into the utility’s industrial environment. Dragos warned that AI tools can make OT assets more visible to less specialized attackers, while also stressing that fully autonomous AI-driven attacks are not yet the reality in ICS/OT environments.

Source: SecurityWeek

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