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AI Tools Suspected in Korea's Shinhan Bank Hack, Yonhap Says.

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Τίτλος: AI Tools Suspected in Korea's Shinhan Bank Hack, Yonhap Says.
Συγγραφείς: Kim, Soobin (AUTHOR)
Πηγή: Bloomberg.com. 10/2/2026, pN.PAG-N.PAG. 1p.
Θεματικοί όροι: *Computer hacking, *Generative artificial intelligence, *Banking laws, *Data security failures, Koreans, Internet security
Γεωγραφικοί όροι: South Korea
Περίληψη: The article reports on a suspected cyberattack on South Korea's Shinhan Bank, where advanced artificial intelligence tools may have been used to expose the personal and financial information of approximately 25,000 customers. The breach, which included names, phone numbers, and income details, has prompted an emergency inspection by South Korea's Financial Supervisory Service and discussions among financial regulators. Experts note that AI-driven hacking poses an emerging risk, as automated tools can exploit vulnerabilities across systems, while generative AI may facilitate more convincing scams. The incident follows similar breaches at other Korean lenders, including KB Kookmin Bank and Hana Bank, highlighting broader concerns about cybersecurity in the financial sector. [Extracted from the article]
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Βάση Δεδομένων: Business Source Index
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  Data: The article reports on a suspected cyberattack on South Korea's Shinhan Bank, where advanced artificial intelligence tools may have been used to expose the personal and financial information of approximately 25,000 customers. The breach, which included names, phone numbers, and income details, has prompted an emergency inspection by South Korea's Financial Supervisory Service and discussions among financial regulators. Experts note that AI-driven hacking poses an emerging risk, as automated tools can exploit vulnerabilities across systems, while generative AI may facilitate more convincing scams. The incident follows similar breaches at other Korean lenders, including KB Kookmin Bank and Hana Bank, highlighting broader concerns about cybersecurity in the financial sector. [Extracted from the article]
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  Data: <i>Copyright of Bloomberg.com is the property of Bloomberg, L.P. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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