RESEARCHERS OBSERVE FIRST 'NEAR-AUTONOMOUS' AI ATTACK ON GOVERNMENT TARGET IN TAIWAN

Summary from the TLDR InfoSec newsletter

Researchers at Dream have identified the first publicly known "near-autonomous" AI cyberattack, utilizing the open-source Hermes and OpenClaw frameworks to extract over 2,500 Taiwanese government personnel records. Suspected Chinese threat actors deployed the malware to run self-directed "Learning Cycles" that autonomously adapted to prior failures and expanded the attack into IT supply chains, nuclear safety agencies, and energy companies. Despite these autonomous features, researchers noted the campaign still required substantial human engineering to operate successfully.