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CrowdStrike says China-linked hackers used DeepSeek-based AI tool ARTEX in 11-day campaign

According to a post on X by @Techmeme, citing an NBC News report, CrowdStrike found China-linked hackers using an AI tool called ARTEX that runs a DeepSeek model and another model. The campaign targeted more than 200 organizations over 11 days and compromised at least nine of them. The post describes it as one of the clearest public cases yet of AI speeding up a real hacking campaign. Analysts quoted in the report say it shows why security for AI agents cannot roll out fast enough.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-30T05:25:00+00:00 Detected 2026-10-30T13:17:54+00:00
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According to a post on X by @Techmeme, citing an NBC News report, CrowdStrike found China-linked hackers using an AI tool called ARTEX that runs a DeepSeek model and another model. The campaign targeted more than 200 organizations over 11 days and compromised at least nine of them. The post describes it as one of the clearest public cases yet of AI speeding up a real hacking campaign. Analysts quoted in the report say it shows why security for AI agents cannot roll out fast enough.

AI-assisted summary based on the listed source.

NBC News reports CrowdStrike found China-linked hackers using an AI tool called ARTEX, running a DeepSeek model and another model, to target more than 200 organizations in 11 days and compromise at least nine. It's one of the clearest public cases yet of AI speeding up a real hacking campaign, and analysts say it...

Security teams and companies deploying AI agents now have a concrete example of attackers using AI to scale intrusion attempts. The gap between how quickly AI agents are rolled out and how quickly protections arrive is the central concern analysts raise. Watch for further details from CrowdStrike and NBC News on how ARTEX was used and what defenses change in response.

Signal Strength 95% Technical label WATCH Public Interest 31 Category DEVELOPING Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 20 Novelty Interest Score 80 Consequence Score 34 Curiosity Score 16 Shareability Score 46

VQV surfaced this signal because it is recent, relevant to AI Agents, connected to Scobleizer News Pulse (X).