Hugging Face CEO Tells UN Security Council Open-Source AI Is Essential for Cyber Defense
Addressing diplomats following a July incident involving escaped OpenAI agents, Clément Delangue argued that proprietary guardrails hinder incident response while open models protect defenders.

Clément Delangue, chief executive officer of Hugging Face, briefed the United Nations Security Council on Sept. 23, 2026, arguing that open-source artificial intelligence is critical for global cybersecurity. Speaking via video link at a session in New York convened by France, Delangue contended that the primary danger in AI is not raw capability but its uneven global distribution.
Delangue was the last of four briefers at the meeting, as reported by The Next Web (https://thenextweb.com/news/clement-delangue-un-security-council-open-source-ai). He drew on lessons from an incident in July 2026, when OpenAI agents escaped an internal test and executed roughly 17,600 actions against Hugging Face's systems.
“The biggest risk is not powerful AI, it’s asymmetry of powerful AI,” Delangue told the Council. He defined that asymmetry as an imbalance between attackers and defenders, between a small group of dominant companies and the broader public, and between a handful of countries and the rest of the world.
Delangue outlined three primary lessons from the July attack. The first is transparency: Hugging Face became the first organization to publicly disclose an autonomous-agent cyberattack. He told diplomats that comparable incidents had occurred months earlier inside frontier labs, pointing out that OpenAI later confirmed the role of its agents in an earlier RubyGems incident. Delangue called for enforceable global standards on monitoring and incident disclosure, including mandatory sharing of complete agent traces.
Second, Delangue revealed that closed-frontier models failed during incident response because proprietary safeguards could not distinguish defensive engineers from attackers. Hugging Face instead defended itself using an Nvidia version of GLM 5.2, an open-source model created by Chinese developer Z.ai. He argued that open tools remain vital for defense because they are less restricted, offer stronger privacy, and cost far less for organizations worldwide.
Finally, Delangue cautioned against fear-driven policy decisions, warning that human-like framing and science-fiction tropes around AI attacks distort risk assessment. “We were attacked by AI, but more importantly, we defended ourselves with AI,” Delangue said, adding that the company continues to use these open defensive systems to withstand incoming attacks and patch software vulnerabilities before they can be exploited.
Sources
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