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South Korean banks probe suspected AI-assisted attacks exposing

South Korean banks face AI-assisted cyberattacks exposing over 65,000 customer records using automated AI tools.

๐Ÿ”ฌ RESEARCH

  • Slow Vale runs a persistent LLM-driven town with 800+ AI residents
    Slow Vale operates an LLM-driven town with more than 800 persistent AI residents.
    • Slow Vale is an engineering project for building persistent multi-agent simulations.
    • The Chinese server runs 800+ AI residents in one continuously operating city.
    • Each character makes roughly 300โ€“400 LLM calls daily with an average 30,000-token context.
    • The system uses hosted DeepSeek Flash and relies on concurrency and context caching to manage inference costs.
    Sources ๐Ÿ“„ Source: slowvale.com ยท ๐Ÿ“Ž Coverage: reddit.com ยท ๐Ÿ‘ via r/LocalLLaMA

โš ๏ธ INCIDENTS & SAFETY

  • South Korean banks probe suspected AI-assisted attacks exposing 65,000 records
    South Korean banks were targeted in suspected AI-assisted cyberattacks exposing more than 65,000 records.
    • South Korean banks and other financial institutions, including Shinhan, KB Kookmin, Hana and Yegaram Savings Bank, were affected.
    • Attackers reportedly used the open-source ARTEX AI penetration-testing system for automated reconnaissance, credential stuffing and vulnerability checks.
    • Confirmed disclosures included about 25,000 Shinhan customers, 40,000 Yegaram customers, 119 KB Kookmin customers and 89 Hana customers.
    • Authorities ordered inspections of externally accessible systems, authentication controls and incident-response coordination across financial companies.
    Sources ๐Ÿ“„ Source: fsc.go.kr ยท ๐Ÿ“Ž Coverage: crowdstrike.com ยท ๐Ÿ‘ via r/LocalLLaMA

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