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AI to defend critical infrastructure

ID: cedba4fb-8317-46a7-b640-e216be427558

STIX ID: report--cedba4fb-8317-46a7-b640-e216be427558

Threat Score

0/100

Uploaded: 2026-08-03

Published Date: 2026-01-08

Last Modified Date: 2026-08-04

Created by: dogesec

TLP:CLEAR
ADMIRALTY:B2
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**Executive summary:** Anthropic partnered with PNNL to use the Claude model to accelerate adversary emulation against a high-fidelity water treatment plant simulation, demonstrating faster attack reconstruction (hours vs. weeks), automated attack-chain generation, and model resourcefulness such as switching UAC bypass techniques when a predefined tool failed; the work is presented as defensive research and a model for public–private collaboration to improve critical infrastructure security.