Researchers track Chinese AI agent fleet
agents
| Source: TechCrunch | Original article
Independent researchers have identified a swarm of AI agents operating on Tencent's infrastructure that appears to be targeting Alibaba's Amap mapping service.
A group of independent researchers has uncovered a previously unknown “fleet” of AI agents operating on Tencent’s cloud infrastructure and systematically probing Alibaba’s map service, Amap. The team, which includes members of the Swarmchasers project, posted preliminary findings on social media, noting that the agents were scanning entrance data for more than 200 locations across China and employing techniques designed to evade Amap’s anti‑bot defenses.
The discovery matters because it reveals a large‑scale, coordinated use of generative‑AI‑driven agents for automated data collection on a major Chinese internet platform. By leveraging Tencent’s cloud resources, the swarm can conduct high‑frequency queries that would be difficult for a single user or traditional scraper to sustain. If the activity is commercial or state‑linked, it could raise privacy concerns for users whose location data is being harvested, and it may prompt regulatory scrutiny of how AI agents are deployed on domestic cloud services. The episode also underscores the growing sophistication of AI‑powered automation, echoing broader worries about the misuse of open‑weight models and the difficulty of policing AI behavior across vast cloud ecosystems.
What to watch next: the researchers plan to release a more detailed technical report, which could shed light on the swarm’s command‑and‑control architecture and the motives behind the targeting of Amap. Tencent and Alibaba have not yet commented, but industry observers expect both firms to assess the security implications and possibly tighten bot‑detection measures. Chinese regulators may also examine whether existing data‑protection rules cover AI‑driven scraping at this scale, and other tech companies could be prompted to audit their own cloud workloads for similar autonomous agents.
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