Researchers observe first ‘near-autonomous’ AI attack on government target in Taiwan

Ah, splendid. The first publicly known "near-autonomous" AI attack on a government target has finally arrived, and of course it's the Taiwanese government — someone had to be the debutante at this particular ball. Researchers at the Israeli firm Dream have published their observation that suspected Chinese hackers used open-source AI models to run a cyberattack against Taiwan, extracting more than 2,500 personnel records. The phrase "first publicly known" is doing heroic lifting here, because it implies a long queue of less-public, less-Christmasy autonomous attacks that we'll never get to read about in a CyberScoop scoop.

Let us savour the modest spoils: 2,500 personnel records. And the word "near-autonomous" is the gift that keeps on giving. Near. Almost. Essentially, the AI probably needed a human to point at the screen and whisper "go on, fetch." But because "near-autonomous" sounds less like a press release, Dream gets to claim a precedent and we get to pretend this is the dawn of Skynet rather than an over-hyped data scrape.

The truly delicious detail is the open-source angle. They didn't need state-of-the-art, multi-billion-dollar frontier models; they just used freely available open-source AI, the same kind anyone can download while eating cereal. So the first publicly known autonomous government hack is a reminder that the genie is not just out of the bottle — it's offering a BYOB discount. The Taiwanese government now has to explain to 2,500 civil servants why their personnel files are the centrepiece of a research paper. And the rest of us get to wonder which "near-autonomous" attack we're not being told about. But keep calm, everyone: Dream says it's only near. Cheers.