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Google: Chinese hackers use stolen networks to run AI agents for stealthy intrusions

Google’s Threat Intelligence Group reports that state-sponsored Chinese hackers are increasingly leveraging AI agents to automate cyber intrusions against American research institutions. By installing open-source AI models on compromised third-party cloud networks, these actors bypass the monitoring and safety guardrails inherent in commercial AI services. This tactic allows them to conduct…

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Key points

  • Chinese hackers install open-source AI models on stolen networks to bypass commercial AI monitoring and guardrails.
  • AI agents enable these groups to execute complex intrusion campaigns in less than six hours, drastically reducing active hacking time.
  • Targets include North American academic, medical, and military organizations, with a specific focus on proprietary AI research.

The report highlights a specific group tracked since 2023 that targets academic, medical, and military organizations in North America, with a focus on stealing proprietary AI research. Although no fully autonomous government hacking campaigns have been identified yet, analysts note a clear trend toward removing human operators from critical tasks. The Chinese Embassy denied the allegations, characterizing them as unfounded smears, while the White House continues to frame the U.S.-China dynamic as a race for AI supremacy.

This development marks a significant shift in cyber warfare, where the integration of agentic AI into espionage operations reduces the time and labor required for complex attacks. It also raises concerns about the dual-use nature of open-source models, which can be repurposed for malicious ends when deployed outside regulated environments.

Full story from nbcnews.com · by Kevin Collier · via Search: GoogleOpen source ↗

Chinese hackers are running AI on stolen networks to avoid detection, Google says

nbcnews.com · 8 September 2026

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This text was published by nbcnews.com and written by Kevin Collier. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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