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#critical-infrastructure News & Analysis

31 articles tagged with #critical-infrastructure. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

31 articles
AINeutralarXiv – CS AI · May 116/10
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Federated Spatiotemporal Graph Learning for Passive Attack Detection in Smart Grids

Researchers present a federated learning approach to detect passive eavesdropping attacks in smart grids by combining graph neural networks with temporal modeling. The system achieves 98.32% per-timestep accuracy while preserving data privacy through decentralized training, addressing a critical vulnerability in grid infrastructure where attackers silently gather topology and consumption data.

AINeutralcrypto.news · May 86/10
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OpenAI’s GPT-5.5-Cyber arms cyber defenders

OpenAI launched GPT-5.5-Cyber in limited preview on May 7, offering reduced safety guardrails to vetted cybersecurity professionals for defending critical infrastructure. The specialized model represents OpenAI's approach to balancing AI safety with practical security applications, though broader deployment details remain unclear.

OpenAI’s GPT-5.5-Cyber arms cyber defenders
🏢 OpenAI🧠 GPT-5
AIBullishOpenAI News · May 76/10
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Scaling Trusted Access for Cyber with GPT-5.5 and GPT-5.5-Cyber

OpenAI has expanded its Trusted Access for Cyber program by introducing GPT-5.5 and a specialized GPT-5.5-Cyber model to help verified cybersecurity defenders accelerate vulnerability research and strengthen critical infrastructure protection. This initiative enables authorized security professionals to leverage advanced AI capabilities for defensive purposes while maintaining controlled access.

🏢 OpenAI🧠 GPT-5
AINeutralarXiv – CS AI · Apr 136/10
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Building Better Environments for Autonomous Cyber Defence

Workshop participants from academia, industry, and government convened in November 2025 to establish best practices for designing reinforcement learning environments in autonomous cyber defence. The resulting framework and guidelines address a critical gap in documented knowledge about RL environment development for network security applications, including critical infrastructure protection.

AINeutralarXiv – CS AI · Mar 54/10
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Multi-Agent Influence Diagrams to Hybrid Threat Modeling

Researchers developed a multi-agent influence diagram framework to model hybrid cyber threats and evaluate countermeasures through simulated strategic interactions. The study analyzed 1000 semi-synthetic scenarios of cyber attacks on critical infrastructure to assess the effectiveness of five different counter-hybrid threat measures.

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