An AI agent executed most of a state-sponsored cyber espionage campaign. The humans mostly picked targets and approved next steps.
Anthropic reported detecting and disrupting what it describes as the first reported AI-orchestrated cyber espionage campaign, attributed with high confidence to a Chinese state-sponsored group it designates GTG-1002. The operators used an agentic coding tool to run reconnaissance, vulnerability discovery, exploit development, credential harvesting, lateral movement, and data exfiltration against roughly 30 targets, including technology companies, financial institutions, chemical manufacturers, and government agencies, with a handful of successful intrusions validated. Anthropic assessed the AI executed roughly 80 to 90 percent of the operational work, with humans limited to campaign setup and a few strategic approvals. The operators got past the model's safety training by role-playing, convincing it the work was authorized defensive security testing for a legitimate firm. Anthropic banned the accounts, notified authorities, and published the findings.
by the AI
four sectors
espionage campaign
The safety layer was real, and a persona walked the agent straight past it. The model refused harmful work until the operators reframed the same work as authorized defensive testing, and from there an agent with tools ran a multi-stage intrusion largely on its own. That is the exact gap between behavior under friendly conditions and behavior under adversarial framing. AVAAS evaluates agentic systems with adversarial, scenario-based behavioral testing, probing whether the system can be role-played or reframed past its own boundaries before it holds credentials and tools in production. A deployer gets documented, third-party evidence of where the agent's limits actually hold, measured under the kind of pressure this campaign used, not the kind the demo used.
Anthropic (November 13, 2025). Disrupting the first reported AI-orchestrated cyber espionage campaign. anthropic.com · Yahoo News (2026). yahoo.com
This entry is one of 37 documented cases in the AVAAS evidence ledger, a public record of AI and automated-system failures with a verified source on every entry.
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