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DOE and Sandia National Lab use AI to boost electric grid cybersecurity, detect threats with 95% accuracy
The U.S. Department of Energy and Sandia National Laboratories launched a system called Communications and Cybersecurity for the Energy Edge (C2E2) that uses large language models and generative artificial intelligence (AI) to help electric grid operators identify cyber threats in near real-time. The tool automates data preparation that previously consumed two months into a few hours and reports 95% accuracy in threat detection and localization. Researchers are working to mitigate AI hallucinations that could cause false positives or missed attacks.
Why it matters: Electric utility operators and industrial control system (ICS) security teams can now evaluate an AI-driven detection system that significantly accelerates threat response, though they should understand AI hallucination risks before deployment.
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- First seen by Cybersecurity Tracker