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This incident highlights a critical shift in offensive security where open-source AI agents like ARTEX enable lone actors to execute rapid, large-scale intrusions against financial infrastructure. The exposure of model session records and configuration files provides rare visibility into the specific agentic workflows and toolchains used by modern threat actors. For the industry, this underscores the urgent need for robust governance around deploying autonomous AI tools in high-risk environments.

Surse care acoperăCybersecurity News, LessWrong

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Solo Hacker Used AI Tools to Breach South Korean Financial Organizations and Steal Data

Cybersecurity News8 octombrie 20265 min de cititArticolul și perspectiva sunt în engleză.

A suspected lone threat actor used an AI-powered penetration-testing tool called ARTEX to breach several South Korean financial organizations and steal customer and employee data. The activity, which ran from late September to early October 2026, affected banks, savings banks, capital firms, and online lending services. The case shows how open-source AI tools can help […] The post Solo Hacker Used AI Tools to Breach South Korean Financial Organizations and Steal Data appeared first on Cyber Security News.

A suspected lone threat actor used an AI-powered penetration-testing tool called ARTEX to breach several South Korean financial organizations and steal customer and employee data. The activity, which ran from late September to early October 2026, affected banks, savings banks, capital firms, and online lending services. The case shows how open-source AI tools can help a single operator run fast, wide-scale intrusion activity against many targets. The breaches reportedly exposed sensitive information from systems that were less protected than core banking platforms. At Shinhan Bank,…

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