Hackers Use DeepSeek and GLM AI Agents to Breach 10 Organizations in Autonomous Cyberattacks
Hackers used AI agents powered by DeepSeek and GLM to breach 10 organizations autonomously.
Chinese-speaking hackers have autonomously breached 10 organizations using AI agents powered by DeepSeek and Zhipu GLM, with minimal human effort. The campaign, which ran in August and September 2026, utilized an open-source penetration testing framework called Cairn, connecting it to AI models to plan and execute attacks. Targets included organizations in semiconductor manufacturing, U.S. defense policy, and civil society.
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The lesson from this incident
Full lessonChinese-speaking threat actors combined open-source penetration testing tools with large language model AI agents (DeepSeek and Zhipu GLM) to autonomously plan, execute, and complete intrusions across 10 organizations — including targets in semiconductor manufacturing and U.S. defense policy — with little human oversight. The root issue is that defenders have not yet adapted detection and response capabilities to the speed and scale at which AI-driven attacks can operate, leaving traditional alert thresholds and analyst-paced triage dangerously inadequate. When an attacker can delegate reconnaissance, exploitation, and lateral movement to an autonomous agent, the window between initial access and deep compromise shrinks dramatically. This matters because high-value sectors like defense and semiconductors face nation-state-grade adversaries who now have a scalable, low-cost force multiplier that outpaces conventional security operations.
What helps against this
How we list vendors- Identity threat detection and response (ITDR)
Attackers who log in with real, stolen credentials get noticed.
- Endpoint detection and response (EDR and XDR)
Malware and hands-on-keyboard attackers on laptops and servers get spotted and stopped.
- Network detection and response (NDR)
Attackers moving between systems inside the network get seen.