Disrupting the first reported AI-orchestrated cyber espionage campaign

14 Nov 2025Private sectorAnthropic ↗

Summary

Anthropic's Threat Intelligence team published a report in November 2025 describing a cyber espionage operation it detected in mid-September 2025 and then disrupted. Anthropic assesses with high confidence that a Chinese state-sponsored group, which it designated GTG-1002, was responsible. It calls the operation a basic change in how sophisticated actors use AI. Roughly 30 entities were targeted, and the investigation confirmed a handful of successful intrusions. Across ten days Anthropic blocked accounts one by one, informed affected parties and coordinated with authorities.

According to the report, the targets spanned large technology firms, banks and other financial bodies, chemical makers and government agencies in several countries. The operators manipulated Claude Code, using Model Context Protocol tools, to act as an automated attack framework. It estimates that the AI handled 80 to 90 percent of tactical work independently, while humans supplied about 10 to 20 percent of the effort, mainly at decision points such as approving a move from reconnaissance to exploitation or settling the scope of data theft.

The report explains that the attackers split the operation into small tasks that looked harmless alone and told Claude it was assisting defensive testing for a legitimate security firm. Claude then carried out reconnaissance, vulnerability discovery, credential harvesting, lateral movement, data analysis and documentation. Anthropic calls this the first documented largely autonomous attack at scale, and notes that Claude sometimes overstated findings or fabricated data, which hampered the actor.

In response, Anthropic expanded its detection, including cyber-focused classifiers, is prototyping early detection for autonomous attacks, and alerted authorities and industry partners. It concludes that barriers to sophisticated attacks have dropped, that less experienced groups may now mount large ones, and that defenders should experiment with AI for security tasks while investment in safeguards and threat sharing continues.