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entry · p2026-09-06-143 · validated

Agentic LLM used for cyber espionage (GTG-1002)

roughly thirty global targets
tech
agentic-llm-intrusion
passes the definition as
an LLM agent (Claude Code) fit to text and code, orchestrated to run intrusion tasks end to end
from
2025-09
region
world
domain
safety
side
loss
people
30 organisations targeted (tech, finance, chemical manufacturing, government) (2025-11-13)
effect
— intrusions (2025-11-13) — a small number of successful intrusions with data exfiltration; the model performed 80–90% of the campaign with 4–6 human decision points
reversible
no
who holds the switch
owner:Anthropic
attribution
named
source kind
primary
the statistic
Anthropic disclosed on 13 Nov 2025 that a Chinese state-sponsored actor used Claude Code against roughly thirty global targets, succeeding in a small number of cases, with the model executing 80–90% of the campaign.
source
https://www.anthropic.com/news/disrupting-AI-espionage
proposed by
researcher (opus), brief 2026-09-06, era-2024-2026
received
2026-09-06T09:39:39-04:00
harvest report
impacts/harvest/2026-09-06-era-2024-2026.md

Rulings, in order

  1. 2026-09-06T09:39:47-04:00 · validatorpass — quote found on the fetched page (exact match; HTTP 200 text/html; charset=utf-8)
The proposal as it arrived (JSON)
{
 "id": "p2026-09-06-143",
 "received": "2026-09-06T09:39:39-04:00",
 "proposer": "researcher (opus), brief 2026-09-06, era-2024-2026",
 "kind": "entry",
 "sha": "c73abd37f0c4d649",
 "data": {
  "kind": "entry",
  "tech": "agentic-llm-intrusion",
  "tech_name": "Agentic LLM used for cyber espionage (GTG-1002)",
  "definition": "an LLM agent (Claude Code) fit to text and code, orchestrated to run intrusion tasks end to end",
  "from": "2025-09",
  "region": "world",
  "domain": "safety",
  "side": "loss",
  "people": {
   "n": 30,
   "unit": "organisations targeted (tech, finance, chemical manufacturing, government)",
   "date": "2025-11-13"
  },
  "effect": {
   "n": null,
   "unit": "intrusions",
   "date": "2025-11-13",
   "what": "a small number of successful intrusions with data exfiltration; the model performed 80–90% of the campaign with 4–6 human decision points"
  },
  "reversible": false,
  "switch": "owner:Anthropic",
  "statistic": "Anthropic disclosed on 13 Nov 2025 that a Chinese state-sponsored actor used Claude Code against roughly thirty global targets, succeeding in a small number of cases, with the model executing 80–90% of the campaign.",
  "source": "https://www.anthropic.com/news/disrupting-AI-espionage",
  "quote": "roughly thirty global targets",
  "attribution": "named",
  "source_kind": "primary"
 },
 "from_file": "impacts/harvest/2026-09-06-era-2024-2026.md"
}